{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "01b7aeaf-bf7f-4eaa-abd8-bbf7bf4db667",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import glob\n",
    "import cv2\n",
    "import json\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c130bb1a-bfa2-4acc-ad5d-d794d45b4977",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_jpg = glob.glob('./基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/train/image/*')\n",
    "train_json = glob.glob('./基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/train/json/*')\n",
    "\n",
    "train_jpg.sort()\n",
    "train_json.sort()\n",
    "\n",
    "test_jpg = glob.glob('./基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/*')\n",
    "test_jpg.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "063630c0-dcf2-4599-a862-4e269bac7aa5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['./基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot114_1.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot127_1.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot14_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot160_2.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot197_2.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot216_2.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot23_1.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot23_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot254_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot268_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot286_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot296_5.jpg',\n",
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       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot328_6.jpg',\n",
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       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot433_6.jpg',\n",
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       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot451_5.jpg',\n",
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       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot457_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot461_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot465_9.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot466_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot473_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot475_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot47_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot481_7.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot49_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot500_6.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot501_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot505_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot509_7.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot513_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot513_6.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot517_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot525_9.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot527_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot538_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot545_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot545_9.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot547_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot547_7.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot557_9.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot561_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot567_6.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot568_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot569_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot570_3.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot575_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot582_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot592_6.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot594_6.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot594_9.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot595_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot597_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot599_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot600_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot603_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot605_4.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot611_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot628_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot634_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot636_6.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot637_9.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot66_6.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot682_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot81_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot83_4.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot90_2.jpg']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_jpg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e46e6af3-a961-4732-b3bb-66c97d636bc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['./基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot114_1.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot127_1.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot14_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot160_2.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot197_2.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot216_2.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot23_1.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot23_8.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot254_5.jpg',\n",
       " './基于可见光图像的柑橘花果梢语义分割挑战赛公开数据-初赛/test/image/shoot268_5.jpg']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_jpg[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f8811c12-5b51-4064-9d19-68dc969f6c41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f445d04c0d0>"
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     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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    {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = cv2.imread(train_jpg[50])\n",
    "plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8d45d561-5c05-415b-ac45-e1a1e81a454d",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = np.zeros((img.shape[0], img.shape[1]))\n",
    "for points in json.load(open(train_json[50]))['shapes']:\n",
    "    pts = np.array(points['points']).astype(np.int32)\n",
    "    pts = pts.reshape((-1,1,2))\n",
    "    mask = cv2.fillPoly(mask,[pts],True, 255)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "583e05e6-f822-4248-b5ad-eeb8bb11f421",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f4459477a90>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Y0RuOEErhH+UoaKFQcuNrl96j246dwRCRZzQIgtYkqaE5H0BjcT7QBEtTFLTTOeX5FBMC/eGQeDRCWIfv5ci6QSOIejmdBJDUZY0Lc5q4xgFL21DjSSODBOZnF9x94xUmu1e4ceUqjQzMuor9fMRkPKIfZQyiiLorePHuK5w2c+RORp6Peear3k1vaxsVRYTYkNaOVi04X045uzijcxbbWQIbv76QkiA3eQXGGKSQGPXxvJBLLrnk4zwWwq+lYJT3SAcDQm9EHBTi+dfQJsLEBsLGNWGdBTai/3GCDzi7+dsTCMJRhpIkSRgOh6RpStGUrNdr8jxnOByBEtRNzc7+HtnWFk1VEbRBaLVxF/iABIZpRhrFjOOM4/MzzuczQlmgk4yoZ7hx5wmy/V3OspxaQCccxXqKbtZI73CdRZoIhIKm5WI6o7EdtqlBBrxRVE1F7HokaUoSRbiuo+5qmuWcpe8wkwlaxSybDmEU6yantg3z6ZRJ2ueZZ95Bf7yNY5OMpYUg0XrjZiEmlgqKAi0UQmjWxRqTJezuXiHduYa3HaumZLpaYqsKxjvM0oc0IWCMIUkSnHVs5FVgQyDt91FGkz4K9Wy7Dt/UVErQic3NRzqItUF7gS0qmvWS6YXh6PiIsq6I6j5bbJPFKa3veOXkAS8dPWD3iTvs7e6R9cYMtndRyiADeCmQrqC0La++8eqjBeaAFyCN3oj7ozwCT6Dtuo2dXIr+JZf8LB4L4ZdSkQ63WCIIcQ+/BW0cY5VgOB4ikcwvptja4qVEbmIwH8X3S4IHwaNsViERUj3KQgWpFGiNUwIRGfLRkCiJqKqNu0Fqje73SBDEauNnX8/mCKNRkYHIEKebRd+4WHO+LmibjmiyhbeeVBr6CKK2oirn+GaF1gIdKdq2pl4uUWKzpuDblnpdEBT0xn16oz79fo/t3T0G/SFVUdDPewglmVcFq6YCL9FSAoJlVTJrVug8I0pS9nf3SdMejXUgNlmyhIB8lGmspEJZz+rsgiRKyZIePRdQdUvSBpI4ZSUDZ/M5QUC+tYUeBXpbE86n5xACqdLEWU6pNbVUWCmQwwFaSlTToRGYWNL4juAssRLEyqAsBNsiEAwGQ3TXcXzvLov1Cq8V0+WcdtdRWMvh9IifPr7Pzbe+jZs3niCWBus7fNgsFBtlMFpjepJXZlOm8ylBCnwICKU2WbpCEB5lagtgXRQ0TY2OkjfLrC+55LHlsRB+QkClPYqmo0MQlCaLDKXtKOoGoyN0lBBHjs4GxKPA7I8Lv7ObdQDTT2mDo65b2rJmvVij0wWN8uS9jNH2Nr2dLaLeCLGcsqzWRFoRDwYM0h7bWZ/KB87Xc2rlEbFEuYANljZYLB7pLdXqgqtXDxAIimJJ20boxQXdvTdQHSitkELSNjVnD47AwqDXR0pJFBmClCS9PuODAw72r7I93EYGMGIO+YD+oM/Kddw/O2F5dspssSJPM3zd0UWK3YM7jLMeOR1FtSb2GcFEaCHpQqANHu/BeMXs4RHFyQX9wZj8ICWNUjpvOTq8z3K1ZFksWVVLetsjiK6RJ31MNKSvBDJAEkdESUKsI9bAdL2gKhb00pzKNqyXC2IpcSZCCMFQ5QxVQj+JccEhqpxZlFKsFtiyYtQfQj8jThOmxZST2TGH5+fsXLvN1Wu3SKKEUFU0iwuIEmQyIM4jjNK41vLw4QM8jsFgzHq5pi2bR5leAvlI9L1WqHGfyrb0TMQny39ccskl8JgIf+cd87rACUVbLolXa4ztCF3H+uQclSRE2hCcx3uPlJ+s5eOcwxHQscbkKQGH15pqtqBelohihUg0aaRJej3yvR2i3pC1Kzk7vkfetgwliLRHlo3om4RGwqpeYEVAGUUvSuhFCU3eo97ZoaBD5BH5MMc7i53OaM4eQrWmP+lj4ggvFaWtaPoSSkeNJVaKWCqsDNRtSVWvaW1DWa+xTU25XiFFYDwasJ0NaZua8uiYs/MLVmK2CTEdDTaLmUaxrguEBR0lm9w0EQgCEAKlNa62dEWF9kBrqdYFejRECMlyueDk9JimrUDBYjYn6ISwo+nnffrDEaGzNHWNEIJMGSIpUT7QLteUrcdohROCumkxTrCV5hzEfXo6wUQxPtkkrM2WKxYXF5Trkl6ek/f66Mhwen5OsVpz/fZttnb3aYuKoqiJnYNlSSNq0u0YnVhs2fLg9dc4PjxEKc3e3i6+c7TlJiv34xYhpGS0s8PVd7wVm6VU1r1JVn3JJY8vj4XwO+coi+UmBnve0S0LgvR0ClTlsL7CyxbbOqx1aLUp1ObcpvCXE55YBLSRpL2ctmwIbYMVAevsZuq/WnN4csxgcYNMSE5WM45WMybOUQuHyXLi8Q4jqYmEIEJgyxqtDHmckO0eMBxNSPsDKh2Y1Svii0PGwy0SE5HGCeZgn/FwhAfWxRphGxJGiNqTiATdBuq6JRBIkhilJfP5jPnZBevlAoFjb3sLJQW9R2sLDwAjJQZJYiLaIFifnSKlI9GQ6QgfwHuHQ25qFz1aA/HWYRDESYp3gfViiTQaGW3WMgZ5jujnSKNoQ8A3HU1VECcJeW9AFAe6tkU4hw2eqmuJ4xSjNFpqgpakwxjjPYkTbCc9dkyGEorSOhZlS+M8vSxjZ7SNqzq2d/aYXLtFVRWsjs65vnuFrXxINV8gAOECJoBpPCqNiIHQVhwfP+TD7/uJTSaxlJyfndO27ca198iOAiCMJh0NiIYDKi8wbftpa0KXXHLJYyL8Qgj6QqCCJ+s6Qpbgn7iB6yzTF+7SrlY46wgOEJsbRQibapRCgAqB0LVEUtCLYzok+e4OxXrNvFjjARFHVHXFyfExg67jbH6BHuTE/QEhijiXHdXykB2dkJqIaDRA1A2isWA0SZqCMhR5y/Z4i3lxwYPTB2BiRrvXSYxAiIbtwZhIKKp+ySDrsS6WNFWDdBLZClTWxxUVW9sT+pMJeTagqxvaqkHg0SYBbdBRRJammCii1+txfWef7a0tLtqaM9egfUcW5yRRhJEKpdSm6qZ3m1mQ97iuo6tqjIO6C7RlQScC+aCH8IE0ijGRQhtD8IHadjRVSZ0ktEmKEYquaQl4KuEpvSXLe2znQ5SHKnS0rgXv0UIigmDdNDgBpfIssFR1ie9aRr0+6ooCExFFEcYH8hu3mfT6TOdzlk0N3hN3DqEMed4DIZgtZpy+8tO89tJPc/bwEBkCvby3WaT30NUNzgWC95s6S+Mx2kTMTk9ZVi1X4+xS+C+55GfwWAi/kYor2RY9HRNGkiUd+c42u/tXKW8+xYvv/QnOHxxhlKTFbUoOE0BuHjk8QgpibchNQmUDXQKDNIE8Zdk0RElEPMjJBxkiVfR2xgwR7McjurKg84EL0eCC54loQC/NaFVFCAUOifUe5y1GePbGE8bDAauqpCxLqtkxXiv6KiEWEak2xIkiQVFHOYwlwQuqquFcz+jSmjgfMhzsMtnew3tP7R2Bjmx7G5kNCFGCjw1CBPpJwtWdA0ajLcrlOap29JOMcToiMwlCayQQISiVpDZykxDmoa4bQhC07SbKpVoJrGsJtqMrK6xzZHlGHEd4ozeLw0mHGgSa0LGuSoJ3rJqCksBeYihEi45iutbjRcAJqNuaZVuylIKulyHiDIJCdZ5cRghtufArNJ5qscB4wWg4InQOLRRpFFFUJauqIM76jMcTitDyvg/9BMcP70Hr8a0jVjFf+Y73cO36TT7y0Q9R1zWr5RohoL814Ylnn6UjUK/mSOtZwSdmQJdccsmGx0L4lZAM44RB0mNVVSxnc2bdijjPGN25wbW65Hy1pFuUbEJ4NrXppZSbSpBSoiJD1uvR6/U2o1QZmGxvcdVc4e7pEWVbgfQUbcFQDxjt7qCEpKf7xNWAk3rNqijxeUqfhrwNiNWKqGmoQ41ViqKtWdQF7tHocpDmBOuZzs6pnSUkKXuRBpHTti1HJ8dML84YjYbsbO8SxxLblUwvTqiKOV4FKt/hXcfF6gJpDFtxSqck02rF3ft3uVjMGeiI+WrJsqw5rRbQ02RxQhbFmzDN4LFIauk5DR0LBSHSrNdrbN0ifKBp20flrQP1ckW9XuGalsY7ZBzRHw0Z7mwTmQzZdtA0m3BaqWitpWtayq5hniaUTYXRhl6SE5sEHWlc5zm+OEUajU40oYLQdriiYDm74Oj8hEVRciVNoXa0As7bBV1VIgEdaQgelSWYrSH53jbtcsp6sSRSBp1KmtaR9RLyrT5d5MlvPsv1eJeXP/BehOi4cec2cT9D4insCi8Fc1fTef9mm/gllzxWPBbCH7xnOZtz3hxz7/iQl48ecNqsMP2cndEO69WULlG4hcWITVMVYwxKbRpweEAZg1QKBzg2Wbp5mrE1maAiw917b3By9wFV02B0zODqDiiNF5I06TNwAV+dsTKCw/UF4nxG+cZdjHckUcJoOAKpKKua9WpNXVZ459BKYdmsMyyV4qXpnF6aU+M4vDjduG9iRV5n9JKcm1f2KM9OOX1wn9n5OV0IjHZGDA92aZXiaH7Bqi5YnZ1y9OprdMslpQ+cHp/jgqTTgeHVHa5dv4ZRCmEDWklaAaeu5dDWNMERNw31bE4xnxNJjZOCtm1RWqEAu97U4k/yFBnHSCWJtCaPE2JtoHM4OqSS2OBxbYusG5r5kkYJjBSYyQ4qE3jb4bqWIjiyKMG5jrMHx6yOT9GdQ4iA0oqd8RhlHVQtPpK4YDmdnXJxcYaJU3rjEcl4yHoQs5QWGzxP37pDojZNd1556UUa23JhVyxWHT7dZevqDV577gP08pw4z1i3BWvf0HTVJmNXxjguhf+SSz6Vx0L4vQ8UTc2ymHM8P6Oo1shgiZyjms9YLRdEkUEOeriiwjlHkiRkWYYPnov1ggCUdQ1GY6WgFXA2mxLFMXnSp6973D95nYuLNXEHKjxDvr2NSAzKZGTSENUd02ZN2x5iHxwSVzU+UjTeoy+OmPTG7I232RqNOWlazs/OCdbSSzLiLGO4PaKXZjTVmrPFBYVr6Kcx48kWw/6YTCeYTmKEwXhBdTLFtZZl1zK5dg3Zy7lYX2BdTBYpru/usEAwm15QNjV15wkqwExRFQVyvINWAiUkVsLKWhprCW2Dn69Yn5xRr0tclhL1c1RsqDqLqBps1yGVoj8a0d+eEAQYpQhdR9FZrFLIOKb2lsJZbNfBuqRcrglSkuU9Vl2gTGZobYhETD7ok+c567LAFmt027LTH7A12cZEKZVtKZqSzlZIIqQC4TqKcoWS0M/3aPOYM2lJqiW6LLlxcA0jJY1tmW5tcbae8XB2zmqxQoQXUVbhpUObjOlyTpIMsNIRGY3REWmUfKIz2SWXXLLhsRB+JSR50mNVFCxmK9bnM4KR9AYTMhMjopylXJH0+tQIlqslDk/Wy9DGULkO7wKz6Zyy6dBaYTvH0ckZq3VBL86ZnV8QGouvHNM3HpIkKd26JYxKvFlxuprT1Uv6sSTylmg8IduNQElWzZrpcsWsqdhGsTuaEEcxbdOxurigWtdolTDOhoy3twnWkg23OV6dc3TyBsvpBTv9HbogOT+f0tqO3nAA1lM2K7qLJdN794hu7aO0IhEx168cML79DG5dcnJ0yHQxZV6WrFvHvFpydHrCwd5NUq3AO2rvaZ0ncoLQBYrZgvXZBb7riHpbTG7fhDhifnpG8eAQFzxaKrwSCKMRIWDbTcXO1lrKpiKajJHDHj7WOK1oqoquqvFSoL0jkSDaCKcVMpVk+ZBEGRpn8WVBJCWTwYhhnGxuSEJBFFEvL6Cq2BnucNDfp9vxyEHO1miLmYKqs7RNxzDNgYrzYk5qEpJ+n+bkiNV8iRSadDBgZ3ebq6MtpuenyEGMSfQmgxlFqiN6Jv1E3scll1yy4fEQfiXBe5qqZjlf0DYNadLfuCLihFqVaATFek3XtChjNm0L25ZEKUwUsyrWNNaSWYuSirre9F+dCYkMYNsWFzyEgGgtzXxFmSbMz87wjcNrxWBni0HcY3M6jiSK6SUJ+85xZqacXJxzfHFEbgwgyXo5s9mMYnWOdQ35YUxTrdDaQJTQizO0kNx/cI8ozRn0J6x9TW88wDcdrmkeFZxzVPMlg3aL3cGYkUmJOk82SEkGI4aTIRezKatWobN9To7uMS9OWATFSmoQnpW3LJqC0HXEtmM5v6DTnjCM6R1ss3vrBtZo0uGAZRxx8cqrpNqQaE1XVgSxWQTtrMUFR1stEOspo91ddByjO8sgzwlpRmM74ijatFgUAuEg1BacJFIxIghc2+E7y8V0ysXZGfOqYHTlOsPhAKESmnbz2XUUsbO1x2S8TdTLKLolXehYtDXj4Q5lWzG3NS4EdBThmo5URYzGE4ajMWmS0emO/Po1zMEEZWuUM0RSkauYXMWXI/5LLvkZ/LzCL4T4W8B/AJyGEN7+aNsE+EHgFvAG8NtCCDOxaZL6vcC/D5TAt4YQPvjzHgPAW85Oj6nK9aaBSgi01m5G91VNV9UU6zVCSvJ+j14vx4lN8lfr7MbPHwK2aalrS13XeOc3DdTVJvQzPBIAbx3COYR1xFrTmkAkFQf5gEE+YlWvOV4uqE2NcYG9wRaTK0N6ccL982NeO3pIsIGmqjBpQpRnFEXJ9PyMcr3CeoeIU8wgJ49zqnrNxfycYCTZZMDWeES3KqCzFIslWEGmY3pBsZ8P2ZvsbVoiGr3JQs1z+kqjWkOcXWVn7zqvTF/no+sLZIgZRBGRUPjWEomACB5pNPtPP0GSZ/S3d9F5BlqRC0G3WCLTBAJ0bUdjLTIyqChCJwlxrFHdJmJpev8+o9GE3dGEyf5V4mhT7qIs1izXa8r1gshE6FjQlGsWoePi/Jy2LBEe7j98yGw2g0RTKkEa3eH2wR1s1/L6yX0u5gvSPGdiMmQwbIuYjk0phqlt6YJFxxG17eh8x6g/QrQOXzf4VUEnFIxH9K7sE1INp6ckbUUiJD2T0NPJo+Yub45tX3LJ48jnMuL/H4C/Cnz/p2z7LuBHQgjfLYT4rkd//+fAbwSeevTztcBff/T7s1LXNc9/9DleeekFmrrEKolrNKaq8G1HfXbBaj6HR310TRyRpClaa5QxiCRmMZ/j25aubgnWIxzIAJE0RP1Ntc6qKGjrmiAFnXMEKekPBxRtTbMqaIuCeLLD2jvatqC1ElEVhM4xHIzI4oxhb8w6QLVYsTxZMuj1GW/vMgsX1BaK6ZKyXCKThOu9J7l1/RaRknTC481mRJynKVGvjxGK1WzO+dE5vrUkOkboiEYJRKRBKYL3CKlQSUo/VUhREERGbzSmWx9yce8hgxtPk5oMLXMILZ0UjHevMshSsjwny3JaoPAOoojYGLRSBOcpu3Zzo2olca/Hlf09Dq5dQQKr9RohBGma0MsyejoilwrD5oZ79/59PvrC8yzbKU2W0QYLWnJy9IB2VSCDpK072rZDCstqNcd6T+sERVFzPj2naktuX73GYJChQqCfbHNFwb2uoHOOzMSgNXPbYIPHCEm1WiKymKg/It/ewt++wVkcE3DkSYpxjkQojNBIz6bl5ptk25dc8jjy8wp/COFfCyFu/YzN3wz8ykeP/w7wr9hcHN8MfH/YZMz8uBBiJIQ4CCEcfbZjrIs1H3z/T9D4DozAS0BC29SbJJ2mRAiPjDVEGqFASoEyisH2iJ18QHR6yPz0lHZV0tQtLoCODaaXEufZppG4tThr6TzURU14VB8e67B1S1nVFKsltm02dd61Z+kc1ekDqqYgiTOMjuhFEQiJOz5muZwzyQYkSUzbtLRViSsbnPWcnZxw5/ZNbl+9gQ+B14/v8cbRPXSkGScDYqFIhwP0bEacRcT9Hq6XUhn1ifIyEQrhA1IIfPAESgiWPi1XTQQhZsfsk8QJZVoQdYZxfoO2D+uwpK3X4KDzLV6CkgKlJXkvwzUdCEnZFBAFdvcmTPa3yfs9vHNYscmxiJUkNYZMRfSk2UTZGEn2REo/63F+cc790yOmszMwGhkZTJ4Ryk0zd+cdJlEM+n1CFvGgmXF++Dqn5+fs7e6wt71DbjTBO3ZGuwx6E8z5axxWS3a14X4QNJ3F0uKNJ8tiruzvM7l2HXvjBsdphvASRaAVDlcuKRYlXVmhXKCqqzfNti+55HHkF+rj3/sUgz8G9h49vgrc/5TXPXi07bNeHEEI6GWotiYWkPVStnb2MNpQz1fonW0KY+jaDrQiSVOkklRVSWoHDNKYrb0dqnJFEWtk3aEjQ9TvEeUZtusehRx2KK2RsaHpOs5PTnESRKRwwW9GvlKwnY+Jo5RKBtpgaauSsu2obYFMUpzWmF6PbDykPT1HG02SZ6zKYpNI1uthpWBdFNx9cJ/haIhSkuOLYw6nx3TO0jcZfa8JruHOs8/wlq/4SvoHu9h44+JxPlA5i9cQyY34u+DxUmBkS6Ys+/0MV9XEoSF0HUbC0GTcGB1wuJjx8tErtLJGrz22syR5Rk8aQtuglET3c1ycMOrfZHjlKttJRC9S+KambDs6Z9EGNBodFLGKGWR9sigBJehnnvFgi8ZbXjp6nfe/8DFWTY2ODFpHpD2Fqy1JUzHcHjHZ3SN0HY2vkTtD+ljGk22iJKGxjqKo2Bpo+jLjtuqjtUM1JTps3IGdd5g8ZdLfZutgn7afUyQRSwJBBmLrmB0e4e7eZaRTFrM5RqlNQ/k3ybYvueRx5Be9uBtCCEKIzzs1UgjxbcC3AegsxsYJQgji4Ngejrlz8xaxjhAHFi0Vs8Wc+w8ePGoGLjYj966jqipMErEz3qVqCup1TfCSJMnIhgMaZ1ldnOOtxXlPr9cj6/cJztI2DcVqzXBvQm8wpLF2MwrtjxgmKcNewjp0dFlOVzWs1yV100IU4YLHxDEuisBo8l6PxlmW5xcEKZGbfw4PHz5EJ5o8S+msJVYRrnPYtsaZhGff+XZu33kLpj9k7S2NFHRSsi4WdOslkQjkJiYVm8YmpbOU3uE0CCPZ3hoxiDoCnqUMBB+wvma2OuXo/AFRrtAu4OsOExxWaapiTV1X9MdbRNtb5E89A9kY26xxbYl2myxfbQxpmiF9oCgLROdIlKHuOuIoxgjxqPlKy8J2xMMBzVqgAphUMRmOyVSMrRtUEmO1ZL1csDg7Y1mUjPb2UPvb3PMtcePI4iGtyGid5tboKrKMef38LkpKFAIvwPQyssEOyyxiaiBEkjaETZWiqkKuKuy8pKChqWtaY/C/wMTdL4RtJ2S/sINfcskXkV+o8J98fJorhDgATh9tfwhc/5TXXXu07WcRQvg+4PsA0nE/aKmxokOEwCBO2cr7bA3HREgwmh17wHh3l/OHh6wWC1azOV3XUTc1zlvyNGewNWa5syIQMR6O0ELSHJ8Q6mbTDzZ4irJEakWSRKS9HJOnmDghiRLaumWxXFItlmwNB6iFxsUb/3poOkRraZsWWouXAmE9jkDZNlzZ2yPt9RABqvUa4RyubakXSx68fo9r164yyPq4TJGJCiUcTzz5JLeffCsmSVm5hnvrKadNxejqdZbCM704JirXRF6w2xsz7vWxkSH0ewQpGJiIA9OnLxQzW7DUgqVruFcc8mBxD9usYd0hhd4kYgG+10fHBm0MKkAvz4liw8o1eG+pAsRSow3YEPDOUbY1y9WcpYqofUMv6zGQfXKpqfEcrWecdjU+NvR8TrcuidOUoDVeKbJej6A1zgj6qSFOI6LzOd0jWzg6OyVL+zyxu8taREwdpFJyNFtyWFU0m5ZrBKAVgYXrqE1K1U8RBLSQmK5DrtYcZAMOu0BTFZgkJhiD+Pyier6gtj0Qk8t6EZc8dvxChf+HgN8DfPej3//4U7b/YSHED7BZ+Fp8Tj5Q75Ftuyn0ZRR4j7AOhULpCBlHDJOMKEoZDcfU64LlbMZ0MWfe1qydJW4dvaTPZLKFTAcIJOXFjGIxJ0lSBnFMazu6rmO9WFAViiET0tEI69m4Ubyj6BqmZcfJYk6SSHp5nzzN6eoa6xytcxiXkqU5yJguTfECvLf08pzheLyZjZQlwQeU8/hFic1KysLRhoaWjisHV7ly7Q6VlMzqktfP7vOxo9coneOrdvYYb1+hR0R9/zXK1TmLUDLobZNlQ+I0IzMRvSDYkgkyeNZeE5mYha959e6LLI4eEpU13XxJawz5ZIgrK2brAuc8/fE2W9vbDIZDbN1Qx4JKKVorQQgEgdB2HJ9P8W2HlI7GtBijMVFE3XYYJanpaILdZAQrgYkNoVSb5jMhMFtP6ZqOPBsz2pmQpD1WQZD6wE6as50NGZmUF07usawtV4ZXabYPUKrjjWZGHUnaNiClwmhN0zZMuyXOjPHxAO00Sjq6xZz64hTKAtDcunUNESkKFXjJfF49d7+wtn3JJY8hn0s4599ns9i1LYR4APzf2FwU/0AI8Z8Cd4Hf9ujl/5RNuNsrbELefu/nchICcOsCaQwowbpqmC6XBKnRelPNUSqJ0AqkwKQJk/wqcntMN5/RtDVlUZLHMXsH+8R1x2w643i9wOIZDvps7+wSQmC9XrGczajLkvV0hg9QVSVxHG1q0hiF7vUYD3O284SBSVEWZG+IMJqL1ZLpao1CMsh7BDrKpmQ2n+GrFl9WuKahc27TIco6IgTDeBNO+eDwIW6cMLp2QBNrKlfxysO7vPHgDdp6TewC/uQEeWtM6PdZZSnLQhCqgr7wuGCZnZ2wNxqhopQL6xFSUkuJ9NBNl5y88hquWJG6QCQlO9vb7OzuEilNcA4vBNlgSJLnBAGV9zRtjTSa6eqCs7MjitWSarGiuFgwHgzZubKPMJI0TsmtQ1tLEJpCOKyRKGNQsUEJSZymmNhs1mGahq7rGESCEDqWZcWqLVjYgovpgofzU+I4onJrAgknjWbxcIY3ghBJQtuiPMTC0CqN1xYvNn11W+nRzZru7JB2NieVHrGVk73lFpO9q/iuxS2m/Fy+nl8K277kkseRzyWq53f8HE9902d4bQC+/fM+ixAIzaaYmIwjyqLm+PiUi+kMpeSjkMKM8fYWQcBstqRyltp75sUKW6xxWxP07i7DwQCROKbTC0wW43oJpbfM6jVxHCOzmMwPEMHTdZb1fE5RrBCP6t0k2xPSxOBXDcN4hyyfEEd6M6o3mtwHluuCqihQWqMABZTLFdP5IaLp0FlCMurRVg2+2FS39NaijUZJwWR/H9XLWdqak7Mj3nj5Bbp1Rd5B1FlOP/xTpMMt6kGfVR4jxA6+KimVgNDRtmuq4wX9/pAs7SG1oWob2roGFWirkkxpnrh5nZvXrtHrDYi0IdKaSGk8ULtNeYema5HBb5qydy2vLC44PT1kK+8zmmwx6Y0o1yWd80jhmRVryPqErW1mQlI7j5UCpeSmdpDw2K4leIuIE3aHE/q9HsYoSttQ1gWrcsWiXlPVFU3bUJUFouu4djuwc2fMui44aTpE5dlBsYNGC02LxgrDumqhbhFdSfXwmO7V19Da4AYJdZ4jd8fMlMe3HYfHh9i2ffNs+5JLHkMei8zdjzfFllphtCGShrYoaatAksZkvT4Bx3R2wWpdcH5yTtG2CClp1mucDAyyzSKaVAptYLw1BtuxEIKqrnAKrNyEhwSj0XmGtA7pPdZ7sJuKmzSbcgPOBKpVgu9tb9pCtg2rdcF8NqcsStrWIrSmtmvaqoTO0xQ1SkhUpIknIzKjkauSZjrn9YcPQCvUKGX3yhWEkizOTjn66E9hTs7Y1SNG6Zgu9rQ2cPzyi2Rveyu9Xp9OBLwxrOoarzq0cFS2oa5XxEZi65bD44d03jMZDNh925MMreDKzj6DXg8lNEIbhNJ4IQh+Ew8vtEYJgVea2Hq0lCwHE/QVz1Y+Yms0IZKG48OHzC+O8HVHJQTBW4rQ0iAxwZGHQIwAqXC2YX1xQS+N2d/eZTLeQUuFtS2R2LSk1FIjg6SQmrWS2LahE4JpXWCnp/g4wUYGv24oasedyT4qSuhshQ2eUngkgfb4jGha8uwT7ySEjofH9zi6/wYmSul2JgzzhMho0jh+ky38kkseLx4b4Q/eb8oxCInTkto1ZP2M0WjE1vY+DYHzYkERLI3rsF2LkRIVAlESE+cpcS/fhGv6QL/Xw7Yty9Vq06QlSRgPh2ghWcs5K+HRWiMR2M5RrAvoWmTVENmcK3sHjHsDpFJ0wTIr15wt5qxPz6nmMzrbodMYKz10nmA9OokxUUSc5+SDATqJ0UlG2TlOj44ROuXG9WtMehNE0VHPVky8RoWIa5NdVDDcX54hBimrasb6+D5X96+R5WNWck0XOtbLOaPIYLIeweR4K3h4+IDj+RFpNiC3CTuDPkOnIDJYQAQHXhKkIgSx6dgVQAtBkJtF336cIBrHIMrIr95goDN851DSEGcZTEEJQ60Ns1hjXcNAJ+RKkXiFCBKPAC3Z39/n6u7BZoFdarSQBCHRSpPZhHHcY5JmLNdrFnVJFvdYJwa7tcvMKLzrUM6yH+W8Y+eAW70JGo91HXI9J00E07ZjerJgZ3CAFDHL6SlyWcPxnHwo0GKGrTOGjzqiXXLJJZ/ksRH+ru0ItAhAKRBaoV1M3usxHo5Zdg2sF3jnUFoRaYXvLM47ZNXgiopgPV4ItFT00oxoR4EPvF6ULGczUqVJok0nLg+4RxUpkyjGaM1isaCuG/yqRFSWEAcuZnOqZcHh2RlF0yCaFleUIEGmEcPhCGUMTVnTVRXBOlxR0pzPabXCrQqWp2eslmvecusWd67eJLaSVGom4ytcT4bcS17n+P4DqrLmolmTZtfg+g4yi+kpzdfsHHA2veDV4oI3/IzIGHpxRqZjttOcxVlC19vh+vYeA68QZYVQgS5YXNCkJsbojf9dePA2EKQgCEEIBoJiko/ZGWqqILiQLa1RyLKmWiwQqzWianFZhtzdoRv1aEJLT6bkaQ+zDNR+QRCQxCk7BxMGWQ+tDFpKlBAIJZFoIuOJgyNPIiZpn2XX0Otq3lCOqTLwqL/vjoh5Jt/iif4OqRO0vmNrtEOU9khGI37spRd4avc6qRe88fxHWJ8dYTxEDsaDITqSrKdLiqrCuUvpv+SST+XxEH4PTd0hpUKkislkm3xriBOBNE1JTMS8XDM9PqFar5BBYJSisw6co1qXnLx6jzzJkTeuk6UJsYnoxQl5nBAheP4DH+T0wUNkHGGtJenlICWdcwzSHge7+8z7cx4eHmJaz/ronHZZ0FjL8nzKel0Q4FHzE0lVNUS5J2ZzHk1VUcwXuLrGSEM0XUKAZr2mehQRdPTaPdq645ln3sLO9ZuYNIV4gDGaztY8PDrEyAiV5jDeYW4097uSfrmilZJaGfL+GC9hvl5RVmc0SETtud4/YMfH+PmC+XKGNYGiWGHzHma0TRplaLHptaukxmI3vQxETp7vEeucUU/xhNGsF8cctWsmwz6zw4c8eP5j9POMZH+EGk1ogmKgIzIT0dY150cPuDh5SBZHXJ8ckCU5Wm6OpYVACrlxsYVAkBJhHdIJdJDEMiKLFblyQKBtHZmVvH2yw83emDxICB7hHJnMqKVkVTuCDWjXcvzaa5zdfYVUKKIko1MSE0eYSKPdCt3ay9aLl1zyM3gshB8BUqpN43TrSeKYwdYEG/wmeqNtWMxmlIslvmsxUUyW5TgT4ZuWoivxFzPuv/AKwsPulT36/T6d9ygpuX79OqKoeOG556itJQhBay0OoOuIgmTYHzDo99HXr7OaL2iKCokkz1IKIQnOgQ90UoKOqZuW5vCEYjbHCY+1DussSRQRRYYIRbAWHxSdMuAF06NTlhdzXFmQG8n23hW8UCT9Ebfe8izDG1dYrCpUNqKVOXdbx0koqcWMoc5AKNLBCGM3rqP7915lezLhrU+/k2a6ZjU7pWtr7h4/QESScrVGtx3XJ7t8w7u/ge3xFlIrCJbz2TEf+anniPObvOPt30SmBaaqsFiyXo+oChSupstjfBIx2d1nsLuPJGaoh8SDIfcXF5yf3qOYHlN1NUIEutZickOkFZHarCFIKXFh0/3LWYdzns46rHM4KcjTnFuRZr6acXFyzltvvIUnB7tkQoJ3tMEhmpZcppRZwkePXqWVln424KyssGWN7ed4KVBa0+v3iZKI9fEpNBbX2Tfbwi+55LHisRB+IQQ6Mkghcc4xnS9Q2yPSfkbZNAQx4+TimNY2REKQJJtCZ95FlMUa8FgfqMo1D159laYquHr1Kh4wUcRoa8L1WzdZVyV3z07wblPFs10tEZ3lxC1ZzZZcuXaV/qCPFJrz81PqrkXUAIEsS2jbliA3I1ctFFVVbKJ14hhpPTo2pIM+eZIigqARHhEUeUho64amdigZmJ8fce/1F0myGJ3kDNIRg9EQHwe2JvsErzlZLOnbmmqU0cY5a1cjvUWaiIFTbEU9llnKrFnxwsPncauOkR6QmZR+b4R1DSfn9+mKkvN7Rzy895Cr+wfkacZyueTo9JjFckWUvEomY/be9Q0UnaWkZFVOMYlCSoPPDvhlv+oOtwdDuihiVVa8Y+cGTjhmDx4yqwqSxBBEjzxOUVqBhDRKSbTeuPFcR1WXWDYVV4umoekcs9mcum0YbG0h4phR47m5/xRbgx0isSmj0dp2s57jPQQHClQcsTwtePnwnKOTQ3wcwThHRClRkJBHdLGmSiQXxRzbfeaonkseP9R4TPOVd9D/8gNv9ql8SfNYCD+AlJI8zbBdy9nJGSGJGG6PaaRAaMWqKjeiGifoKMYJQWgD0miSLCF4j04iAp7FbIZWiizPMUmMSWLyLOXKrZsUeBargtTErIqK0FqE3NRzmU5nNF1HcAHCpiZ/2VTkkyFbWUZrO6bnF9jaovIYk0CaZ6RxSrcq6DT0BgPGvT5d12Fti7KCyMT08gytNVme0csTrl+/wbDfR0YxsVa4ThALwyDrEcqah/dfpyuWiHEP5SxVb0jQiozA9f4eO1+1x+nikAdnh4/cVQOChFhriuWK09kpFoFPYkQMp8WKkxdnBOcQzqPZnFeqoavPOL14mfnFCRflgudefwmyhCif8NQTX8XW9RsksSHYlp1BzjjOaX3FUGkWOqYJDoNDmZhV1/BweYFFbEpJh01yXNNZyqrCeo+JEtK4z+6NTW6F0gqpBEYl6CQnaIMPHm8thIAigHIsVnNmtmV9eoQ9mzOdzkn7faJhD3MwIiDZGe+wDIFFuWK5MyKIm/Del99s877kc0BmGa/8P2/wjbdf5PCbcnxRvNmn9CXLYyH8QgiM0sRaEwnJxXzK/Rdf5eR+TBxpRtsThrs75MMhWgpq22EfTd/jXo+82RRgM3FE3uuR5zlt01DV9aZcgNwkGGV5zjDL6eoOaz2RNhB5gpAoKTdZves1Rhm0FEgVYYY5W1cO6I1Hm+blzuGdx6Qx667GKx7lHwhuPP0U5bpAKgPrgiAlxkRsbW/xzFvewpUrV0nShNgYoihCSIH1DhAgMoSJGA/GjPYHXLv+BA+KGe+/+zIP7x3i5Akiz9nbu8EzV8dUoUahyaKc7d4WwzQjcoH5/Ix1XaCSmF4vp7N2kxHtHK7tNi6rriNVimFvQLOuefn1F3jj/su4pkJrRSpBLBpMp5h4Qb1YMTUC4ToO9rYRrsG3FUOpmeiUWgoKaSmDZ94UrJqK8dYu8WBMJmO00jjfbYqmGU0aZ0QqIdLRZoZAwNuWom1p2RQmtSGglUKJQNc1NLbmQy88x+FyyYuvvYRdN0Rao+IYFQKpUUzGI8r5nFgo9ns9tnoDXDbkJO+9idb97z5Ca3jHM/BTLxLsF8dtJrTmjT/2Lt73jf8tPgR+86/+DpIf/skvyrEueUyEP4SAEoI8TSHAYj6nWixp1wVtGtOPE/pXYnpxSrFe0S4WdMETZRnpoIcMsFos6ZxDak2e55RVyXKxRGpN1LaUTY1EELoOu1wxv5htSkUoSVs32LJERYbJ9jaT8ZhUSuq2Rg0GTLa3kHHM+cUF9XJNPsjZ3ttiqGFWrTZx/bFE3L5CLg3V3YfgHVfu3OL6zh7XrlxhMplgomgTtSQ0kTEIuRG1quuI0z6j4QCjNQRJJwLlqmO1uNhUqFxXyPOYd33lL0cjsM4xGW/RSzJuTa5QFwWv338Jay1RPwfbYdsWYR3W2016tNiIakegCx3StZjEILWm1+vj8pyyqqiriuBavuGtt3n7zSssS49wDRGWcnbEvFttRtdZTggTjlczWjpU6JCuoSkqXnrhBXrPvpNkq0eLJJKa8SgC71FCoJVCbKpDIITESUMXOpQUSAKPboeIEDAI5kVF4wNSKNqLBcoJOuOxziM6S1c1iFWF6uc8ceMmO70xsZC0IeG9l60Xf1EEazn61UOa3/LV3Pnuj+JXqy/4Meb/yXv4l/+XP89Qbm7Sh9+ouPPDX/DDXPKIx0P4vd+UTn40ypMClJQbX3xlmZ7OILxClMSURUnTtmTjAYN9hcoSol5G6iyubImCJNhAWVZ4Z/GuY71aEbwH77k4v6BYrfHeYZTelIsInqZr0cFRF2vC9hZJmhNUQPd76CShblvWiwXr+Zy2Ltm9us9kNCHEGkugXBfc/egLbL/7q5C3rpBPlzw72OL23gFeQ+s6ui4gkUTSAR6tNFLGxInGGs2yqrlYTjmbnXI6PeP49Jj5eokXAWHhG975HsajCRaBE4qtfMJ4e4c8GvH88fso2wrXtoRGkMcRpQSEppstabsSGQQKuUnEKkpW9TkRgixOmPf77B4ccP3aTaazKdPTE9q65ezkPnePDhmNhhgEk9GYhVIkxjBIc5IkIYpSwuoUZ8E6g0488/uH/PP/5VW+/pf9Cnrbe2znE3pBIRAgNVLIjeAHcN7TeQsElFJ45wi2xXctwrY42/HGy69zcnLCufDsP/UkKRHFas1yMcM3Fd4HCpbEQvDw4gI6RyIEznVwGcn/i+b6P7jHr/xnL/D33/Ee9v+4w734yhfsvWWec+cPvciB/uTMzEefWySWiGNC03zBzuXLhcdD+EOgqWsWiwVJEqNjg2oNXdUirKcoSuq6/kRYXpLlpIM+hE0WahAQxTESRRanpDImlylBeFxtqaopi7NzgnNURYkQgihOiJTCdh1KKeIkRghBZy3TxYwo1qg4Ih/0MXHMdDplNZtjraVZNkzPpuSTMYO0h+0stnOs5ktYLKknA5KbB4R4QAUIZ4m1QkkNSLyAgpamLSiaiulixunpBWfTBeeLM+quoSNgBXTO0tqOWwc3+Kp3vRvtA0qCCXCjv8dTe88yXVsmkyus7Bmhq5mkI65s7XDaVTx0nlCUPPjohxnFOfujHZbTGdOzc1bTOeVqxbJasJzOWc4W3LhylZ3+gOOXXuX9//bHee79HyIaZdx66g5pnJL2UpKQIINAe4FwjmEUc5D1kWVARpZOKOooYt3NODy+D8sLwlPPkKRjIqfBCZwIdM5ig8c9it4K3m1uHt4RXEfX1jRdy7oqeDA9oREtO0/eYpj1uDG8QhIMp/fv8v6f/LdY5+najouzc7xzJErTzzOUElwGc/7isfcf8Ld/4Nfz/j/wPfyFf/Au/vfv/HrM//aFWYCd/Ufv4Adu/ndA+smNP9+XJgTNv/8edOFQ/+qyA+bny2Mh/AKBtZbFYoG1OSaOSH1G2zmsdagQPtEw2z+aHdi2A+cITtG2LdhNuGUIAYNklA9ACmrX4euWsljjO7up5e8cxhjSJMV+or3hpidv5x2Fsyy6lkhJMueo65rldMbqYkpTN/gAZ0en9McjRrtbDE1KbRocDYvnnufqN/1yLoLj5a4k1hkTE6O0xghJ7TtOlwsenh5x9/Au89WcSEbsjPbJsx5N10BokVlMksRIBJEPfNPXfCNZnKKsR4qA9BCKFlVWZEGwOxpxsuqzko54MiDuDzD06Q0zZhenZPYJ9vpbbOuUnZ0dbl25xtnJCffu3mMxndJVNVVR8FMf+jDf8HVfRz/JOL53ggsgzhUnJ0dorZm9/W289a1vZ9Qb0KUpShtc8IyijEhtPuNaNpS9IeW4Yd7V1MuS6YsV1bWnuD28gnEO23k670BKpFJExgDgnNvM+ITEKkVtAy8e3mdw8yrvylIOfUtZl5wvLri+dZW3vOVZivmU6fk5y2LFslyynM14DcHVg30mk9Gl8H+BuPVXP8Z/9h/+Kv7m9X/Lj3/fT/Ht3/2H2fnbHyD8IqKm1HjMnT/4IkP5SdF3wTN+XvzcO0nF6R/8Wq7+1tfx/1HN59Vm5xLgMRF+2ET1hBBo2xZhJCaOSbJNKQXnPc45lFKbG4D3rBYLdC/BdBmeTRlnqo75yTmHytCfjFD9FKdAiRgTHMG6TVSL9Y9G/TECkFW9KUUcGXCCBs/KtlBZmocPyRdzLk5OsFWNVgofBNW64ujuA3xnibOURBmCNriq4mBZo3aG+CgiyofYztEgaG3DS/ff4IPPP8f04oK2qElUxFNveRdP3Xwb68Yy6S84ai64X5yjguAdt5/gYLjFnSu3wIOXn1z8fPGNVyhmU4aDAbPFCWVbUEWaRaxQWcyqP8DjwDtGOzsMVIpetUzSHBPnXNva4cb+Ac+/+NMcnZxSrdccnZ7w8quvYpKMurHY4PBtICkadKx47ic/iK1b3vGudxG0JO2nlI0j6SSZSdjJBhhZMk97tNGUF2cnLKqSiIz7r5/yy7/iPTy5f41YbBa2Q5BoCaLdiH4IgSiK0FLitaIsOg6XC4RWXBcx2zpi6SzL5SkPq5pk+4C98ZAXnnuOVbFCaInDU5UNIkASRZ+l5e4lnw9uvuBD3/f1rP/sj/B1ScI//9N/ka975jt5+r9+GXd+8fm/oRC89h3P8pFb3wuYT2z2BJLZZ3bPySzjpf/HV/A//+a/xLd+9x9lZ/Zjv8BP81mQCt7zVu7/uj63/+597N37P/8+/47xeAi/AKEUQghcCDSdRQjQmSGNexuXjwuIAE4JtNIYE1GtNsXS0JuSxKHdROV0TcuOhskgwWuJ96CUAgcCSUgC3lqCc6RpDt6xrAqIJCbp09mGLjgSHbGuStbFCluVZIMexkTYtqOuasrFipPGkvVyokEf0cEgiXg6HzLpbfNTyws+JtdcTXrEbcfDF1/i+Q99CNt57KymbiuEAeM1ovVo6xmlA2QeMV3NOX3lDe6vWp7+Nb+BCIXDI6RAIHDOMyvnPHj4Ktd2t+iUoxQNTW/EMuvTDcconSDv3mWrFjRnNW+/fYOhDojWs7ezT+laHpqUWEeMJg94cHTE8vyCV197nTzKUEZu3DLeE7wgOEFVtrz8wsvsX7vG/tO3sT7gG4tQEo0nVwZncqIkYdo0TJuG1Ay4Gl3Frgqe+8BPId5a85Ybd3BYbBdwrcNGMVpvCrYJB9YFbOt47gMf5pWPPkcIitPxCBFJlBJkwx7rzPHR6Yw4SJQ00AUIFqEFCM+ymnNyEePcZQLXF4rdf/gxfue3/GZ+6Kn/L9sq54Xf/tf4uqd/B/t/MME++Ix9aX5O5Duf5a/9rr9BLMzP/2JA37zOS//1Fj/1K/4y33X8jez/4E9/QUf7ajRk8eueZfpbC/7fX/19fPN7/yD2/uEX8AiPD4+H8MOmOqdSqEc3gNBLyA+2uXqwR7OqWNw7pDu7IA2gkhihFF2zEeCgFIKAqxuaokRLjXfQlC2dcNiyoC4rjDKMBiNUK1g1DdZ5tq/uMBA7+NkU18+Qgx7V8hxXN/QmY/IkJQRBaBuaco3DUa8LxKIgWE/VdSwPj+D4hKyXcvPtT7M7HNEzKYt8wEttwWHXsCU1+cEuycMd7PmMsmmIlAGdcv9khYjPSWOBTiRCQIZGWs/R2TlRlgMQxGZm5Jzn/OyMB/fv4tuK9fqcZHdEt7uD2donu3ILJSLG0wI1LfHWsVzWhIuCa088QxoliGCZHc1prUVJyf5km+3JFrPzcxbTOdOzKUIElNqsSRAZJvu7PP3s03z1130Nk+sHHC7mPPeB57m+fUBXzZlkmjhPWQEvHz/ktFjjlSSznp7oeOrmbRIdOJhsk8Uxp0WJ85ueASJ4vA+E4HHO4ixML6Z84LkP0cmArTtWhw/ZnYywZcnhyw290QSjI5SDbt1xZXuPnWtb2AisCKhUYZTCXw75v2C45ZLuzzzBj/9tx9clCiMUP/lVP8B3/dC7+anf9zbCBz72ub2RVNz9U5JvSn+2dN+zFdnRpy/Yhl/2LoZ//i4v3/5hXND87//jV7M/e+8v/gNJhXrmDq//Jzv8H3/zj/KdW3+Jscr4J+WYO38lgP/SdCQ9FsIvlUIajXWOEARRZMiu7DB+yx30sEfcObK9CbPnX6V9/RDXdnShIbAp5hZ4NBtoW2QAiaRcldRNQ+s7bF0hlWRrfw/TS/BLS1EUdEEwtJZkPKKfJfh+jhr2GTYD2qqil/fZzQcYldA2FdPpMfN6iTaCWGtwgWADSZmyvDjDyJTbt58kyXKM91yXmrsSZkpgpSDvRfTe8Qyr53+afDkjH2zh1ZC3feXX413L4d2PsrszIgjJ7mBM9tRbmNcNUbLxf4YQ8I8iYA4P77NezjEaOgHJeIvek8+SXrlBExTjdQGvvko0X9FWBeuHx7xsJaM7d7i4OCMPHVWx4HR+QQiBQZqijGHU73MxmdMRKKuKSEdcPTjgq776PbzjXV9BfzzA4jlbLXjt9Tc4Oj5jq7/H/GzG+198jmx/TD3o8fzJIRWeKAgMnq9551O869aTtJVlWtd84NXnee3hG0xGY568/gSJazchrj7gHGgpOT16SCcCB299Gh00W3FKdXrB3J5DA9XpBTUKZwO2tUhXM9nusbt3QOM9XgVG/T5Zkn52A7zk80L+6w/ze7//j/Dh3/e9xGJT/O8v7H+IP/e3K/5/f/SXoX/k51/0FUrxa269+Bmf++YP/H6u/cRHN2szQjD/3V/Ht//Jf8i3DM4B+HurXa79owd8pnmcGg1xb7nJ6Xt6XPnH97D3H3zmz5BlVP/e2zj61oa/9dX/A78s+XjIb8aRXfOn/9s/yM6PfRHcSI8Jn0sHruvA9wN7bNzL3xdC+F4hxAT4QeAW8Abw20IIMyGEAL6XTbeiEvjWEMJnXXbflFXYoliv8cGTjPoc3L7B6Mo+SkvquqLSGn/jKndfe4CsO6RRm0YoStN6h7OW4DyR1oggKRcrOm8JMqCMxsSSsizoNzkqSxhub7FcrHnjtVfpHeywfXWfrVGffDJCxRMK7+icp647VvMp1WrFal1AnJCMY9BrcNDPegxNyuzwPlIE+tu7LL2jXC25d+8NRjsjbBKxEC02i6g1jK9f5e17V9gd7fDSqw/JkoRRNmL2UDM/XxD1+qieYXu8RT8I1KfEoXvvKauKs4szhHfUTUuIeyTX7qD3b1KGQOZaTl/6GM2Lz/PMzgFf/exb2d3a5oMnd/kXi1e4X8z45U88wxP7t3jp3uv0k5QkyxBS0roO2e8xun7A1du3ePvb38mNW7fJejkOR2kbVqsV50fHdIsZTxxM2OkZriY3uNKLeL0teeHwPo0UaGVIkdzY22O41WdZF9w/XfPc4Qkfuf8+inJOfk8xzHtMsiHOJBhpQIGj4vUXX8DXJUkag465duUmO2/7CkLnOLv/Bu/9Vz+KMTGDrW0WywWZUpy8/pC7L99lsL3F9SeuMx710eIzt178pbDtL0lC4NZf+Ajf8O7/Ex949z/4xOY/tf3T/Jq/+TG+409/O8O/9+Of/S1sx//62tvhyvs+bfvMlUy+P98kignB6bd/PT/4x/8CT5v8E6/5c//zb+X2G58uynp/jxf+5C1+/6/6l/y2wT/hmk5529U/zO3/4mcIv1TUv+ndDP/YPf7une9hW+XAJ6+vLji+8R/+MZ74G1/ayWOfy4jfAt8ZQvigEKIPfEAI8S+AbwV+JITw3UKI7wK+C/jPgd8IPPXo52uBv/7o98+JlIqtnV2U1gQR6F/dZv/aPr1BHxUCa6EI1PhBThcsoW4wzhAlEu830T3WWXwQICQdDucsoeuQkQYjIZI0Tc3sYsr2zj7b166STkouTk+pV1P2x09z49oVbBSx9g1dU1B6h1Ge6eyU4xdexiAxoxFRGhEIRNpglCRLYmyvz8XsnFdO7hGtelTrks5a4uNzbl+7wit0PJyuoanReYod54TGM9AO7RaMkoybV6/wo+/7MeJ6RHnSYIs11596Egg479BCsO467p4cE2UJw50Rp6slW8++nfjOkyyDIPEOPz1lMX3AYCvmeHHKv/ngkqvvfAfiypP8tFtie4aXmhW3tsZcv3Ob4zfubfoJi8BpW5P2e/z693wtW5MtdABnLS5Ylm3J0ckhs9NT7KJkHEWkOkI1C2bnU7b2d3npuKISHp0kdF1HLDRvf/qtXBQlP/baB3n17pqrt9/NvOmgqzm4cgep4Md/7N/w1qffxrX9GyDgYjHn6OQUVzSUD0+58uxbmM8uGEYxTV0znV5w9doBsYnIBn3SfsQk7dHt7/PCSy9TlyUvfuRjvPqR51nM52+abX+p4ouC3T+t+f4f2P7ESBzg6xLFX/5zf4XvcH+E/g98FvEPgWaW/KzN337vN5H/i4/hge7Xvpu/8Z3f+2mi/4Gm5c7/tPpkpJYQdL/23ez92Zd4+cZffzRI2uQD/N//4x/g7/7Nfw/72hvAZjbw6h9/Kz/8u/7io/fM+Zn8Bz/9zTz9X72A+xJ18Xycz6X14hFw9OjxSgjxAnAV+GY2/UoB/g7wr9hcHN8MfP+jVnU/LoQYCSEOPltjah88ne1ofYdUgsnWhF6cEqMIwWN0RBwFihDwwW+Srh7F5MPGVYRSmGiTGeqaDmctAkBIkGLTDFwqmqphNV/Sk5I0T9m9sse1m9d561uexScJ523DynWUwVL6DoWjt7VNcC9jZ0uK0wUYyMYDzGRC3TlOzucsTs9YlStef/kltvav0O8N2B4MGZqIyGu2RkN+bHHGufFUEt4ILVIZ7tx+im2Z8ODwLvcvzgje0pVrZBJTrkvuvv4qdVORZhpH4I3ZGS8cv0GUSpJrV9jbeifb73oPS6UxOOJiwflrL6BER03AjEfY3Ss8F1nu2YrGbPzexgtkkDz97LPcfeMer58eI5KYa08+wdve+jYGMkIjqHDMsZRVwfHhQx6+9gp+XZCrBBkndLbEpRlOSx7MLnjj9HBz420Dnfe4VPPRh3c5PTrkbHpCIva4E8VElSMO8LYbd7j/6ms89+EPc3z/mN/wTb+ByXiLowf36dqO1MQsHp5wsLPPK3fvcdZ7lbqpGZqEyXhMpDXWOmJjmJcFB9dv8B9+7XvItWZ2dsrqYsZrz73+ptn2lzL+w8/zP/7e38Q//Yv3+YHb//IT278mNnzLn/lh/tHLv/Kz+vzV+tNnYv+6hgd//inS4idxv+qr+Ja//EN8TfzJhV8XPL/lX/4hnv7gh4BN8taDP/pu/s7v/x7eHUd86sgd4Lf2Lvgzv++A2//FG8iveAv6r8x57sm/TCx+tuCvfc2v/sjvZvuPgZt/ZvfQlxKfl49fCHEL+ErgJ4C9TzH4YzbTZdhcOJ8a//Tg0bafW/itpWkLlIHx9oSb12+wN9rCS8m6bWgArTV1VSMAYwxCCLz3mxrvQqAig1IKW9eb4l6bUB6C3LhKFBIVBN461oslbdcy2Bpx8+kn+Ip3vYu812fpLU54nASUwjlLGRy9LKa/t0OzahBVsymBUFbUeomIE6SUDPoZt27f5Mqd2zgtWRab7GDhHFfzIVdNjzrreK5ecu5qLsKma9dOnLKnI977r36Mw8UUXVb0sgHD7R3KfMF8PmO9XJKnPZZNwfN3X+bh8oTaW9JrN0jf8jbOlSbHk1RzynsvkrgSlUasRcBducLrkWFhKxKjEd4yNjG3shEJiigy3HnbW3nv+36ct994krc/8wyJ1lhnCQjmXc399Zznf/pjHL/4Cs3ZFFeUDHt9bt64wWgwoCVQB8eytczKkta1KEAbTWE7PnzvNWzT4F1CPxlTzWv6dsCVnSGjuM/7Xn0DKSTn56f8k3/2w1y7cpWyWJMmCV4LmuB5+Mor2KJCJAmu7fAm5vT8nNFgwNZkwno2Ze/GNW689S2YOGGgFFEUMRqOyPKffaH/Utn2lzrixz7C6nde54k/93t5/ld/3ycidP7A6CH/2/ecUP7HO7izs8+479ZHBO63e5SQnLuCP/xX/zgH//i9iHe/jd/11/8XvnVw+onXLnzFN77//8xb/8v7j+pbwdnv+Sp+9Nv/ImOVfcb3V0LyR/4P/5R//M+/iXf9dx/kv9n7MJ8aNvpxfqjI+FN//Q9x9W98BPdlUhjucxZ+IUQP+J+A7wghLDfuzg0hhCCE+LxCJ4QQ3wZ8G4BJDFrDztVrvO2d7+DK1RtkUUwbAh4oWkfTtnRdh1SSKJIExCfKPCAl4VHxNvcosUuwmQkErRFB4FqHd5a2bdCqIzhLsr/D7SeeoD8c4wkI4dGRQrYCbQVKCIKSFJElubaFX8zxS0FsNCqJwRi0MWRpxJUrV3jiyWfI0h6LckHwlhA8F8s5x8dnKG24u5wjt/oMr+1SRpq4n/PSfMr0vOR0dkqoW6x1tM6TZz1OBAgZOD07ZbK7z4Pjh1TrGacP75M+9TTpk09SSuj7DrOcM3/jpzHlil6WYb2gP+hxbjzrUKGEpMZjQmDfpFyL+xgPaMWtJ55EDXKu7Owg5WaxvBSe07pkVaz5yR/9UV7+yIdQVYt2m1GakZs1lqAUXkpQkqazNHWFEIEQNsXrus6itEHbjK38Kk/vvYOtbI/dd44x5piTiyWrpiaKYlxnWa7mvPZ6Sa83QBoNOiCNotaKNnjWdc327i5lXTOvCoqupSWQZik7B/sYY5A+4GQg7feYzabUP09K/xfTthM+syh9KWHv3ufpPzDlbX/2j/Avfutf5LbZuFp+8M7/yjPf85/y5LcuPmOS1/CVkoeu5Ibu8Svf921c+yvvR928jvlL558m+qeu4Bt+8Dt56s88hy03s3x9/Rq/+z/7Zz+n6H+cd6Z3Gf73P/Rp7qiPs/Y1v+a538Xov4w5+NB7v6wKe3xOwi+EMGwujL8XQvj/PNp88vFprhDiAPj4N/UQuP4pu197tO3TCCF8H/B9AP1JP2zvbPP0297Kreu3iZMMjUAGT+octik4X8+oZEc67tNziiiKWa9LqnWBCwHpA9J5XNiIjtSKOM82/vSuwTUW11hC53AR0E+4duc6u3s7m2xev8n8lUhkENjgsMITNLQiMNodEa+vUJzOEWlCFCRuVSAJ9AZDrt+8TWRibGvxwdPr58Qm5txf8OqD11nNVhwfPmS2XrP3Ne9k8PVfyZmqkKMUlySk+9vYuw/QWYzTgrYusThUkuCsZ7aec/zwDY7eeI1064DJ276ShYStrkbce8j83hvEOmDSCCNjgtHYUY+qWCBNhNGKMrhNVrOOyZGkSmOFZ9mU7A5HZCZiVpUsfcfMNjRNw0d/9L288pPvZ5SmXLt1g1F/jJSK1tY47ynrEnA455iv53Rdh5ACCDjhkCojEUMm8TUSO0K2KVZ3pPEYY1Kef/Ff0wWPMAIRFBKFjBTKKERk0CbGJYaOQCgbYpPjWkHbWprW4l14VF11M3sJ3hEkOKFBC/auXUPrn9vMv9i2PRCTL4tYUl8UPPEn3sdvvv8n+Ef/1z/PbdNDCcn7fsVf4xv+5B/jxp/92aGXsrJ0Ae7ZNXt/NSE4xwv/1Q6vPfW3gI1r56/M7/D3/5vfyJN//wP4RzcPoTXP/+kDfmj0Q/xM986n8gOrMf/9d/wW+KNnfMvb/9GnPffArvl1f+NPcPN7PvJlWf755y1b+CiS4f8FvBBC+Euf8tQPAb/n0ePfA/zjT9n+LWLD1wGLn88HGpmInb099vcPiE2CkgohJAJBbCKM1CAg3R5x8Pa30NuesL23w97uLkmabUbmnUW4T9ZwD2yStrIoxkiF6xzeeoSQaCkZbY25dvsmSmms6zYVQhEYFLHSSCnxkk3maoC0N+LGnae5fv02O/0RunGsTy+Ynp/jYkNIEhoBleso2pZ5WfDw5JRXXn+D6WzGbDGnbVp0a7n3b97H9Mc+SL/1TG3LGzFc/dW/jPEzT3Lt2lWevHqFvgxc3d1m7+AKeztbHE+PmV+cM+8s/a/7Wjqt2Zst4Sc+iH7tdW5mOVcHY3omQQuNmUw4rgpQGiEkSklirTFIJmlOYiJKHOumRCuByVI6sanbf14WBOe497EXOHrxZfbHE65du8b1G9e5ee0qT9+8xVc89Sx3rt6gFyW0TUstHZVtCSJsksyUQscRqe4x0bswV4RCgAfnO4JXCDlhd/dphBji4pgQGaQxm1pNcUQ2HjHc2yUdjdB5jokT6rLm/8/en4dblqZlnfDvHda45zPGiTkyInKeaqAGqwoKEFSKwVagSgWhmT6V65MZvrbtxrbBARCkRUBaVAalUEQFtVWgKKCorKzMrMzKKTIyY444ceZz9rjGd+g/1s5ksCY+qaqAjPu64oq999l77bX3ec+znvd57ue+Nzc22d3ZJQxCkjjh4OCAS1euUBuDxeFwWGexzqHCgDj9yFnhp2Jtv6rgLIf+0aP82R/8Ti7XUwAGKuVnv/ofMnnXm/67pw/v63BSp7w/P0b0zDV4w3384tt+DIAX6xlnf+Xr+ZUvepj+Tz/ye3YM9Wc9xHv+1A/9Hrbb78e7JwN+4hv/HNH/8xi77zn8e37237KAd/yD7+TY3330VRn04RPL+N8CfCXwjBDiqfljfwP4e8C/FkJ8LXAV+PL5z/4zDd3tAg3l7X/+eG+glKKVpoRRhJIvN3w8zFU6u2HEQqfDJAqQQYuD7SH7e/vI2jeME2MwZu6t6hzWOVxtyCYTnLXgQSHxqjlm1I64487TLK2sgtB4HFIIAg+hbzLhUEikB4/H2WZiOGy1SdOC4cYG21euMto/IFntYrVgY7TXZJ9eIKQk7A4IWo5kb59kNMMZiy0LTJnTrmH0xDNoJYnf+AC7iaeOAlbe+BCrexOOyoRsOqVHhz3nidI26xcvs3EwYunsXUQI2lduMH36WXpaEEQamWd00gW8CqmiiI2yYmobG0upFMb7xvdASlpRTFk1QnD9OMVXNcpDnmWspG36wvP4o4+y/cJL9IOIVhIjIs3YV2BntDGEOsFrSbi4wMHBDrvDXeq6qe2XvjHIkWgS10ZNU8phRdqFKi+QhCSBxHpFv3+C/sJdbI6fJ4wsgbPNkFqgqUKNarcIhEfYFnZcsr+xha0qkk6KtZaNmzeZZTPidooMdCPtIcRc0E/QxPaPmnR/0tf2qw7z4P8Xd76db/run+ddnQNeF4Ufsdl7cE/Tf3v35htwwwMufONRHggDvnnj9Tz5t17L2f/0xCv1/FcgBDe+oX6lnPSRcLme8g//z79C71cbVlHnmqP0NZEI+E9ZzPd981/m0H/8Qxj++iOMT4TV8z4aafSPhM/9CM/3wDf+QU4iz3Om0ylCzAOts3MHrCZ7C6WkF8WNjV8kqLxj7+ZNwhpKY3Gu4fB775HzurwUEqzDFSVSNg0dj0NFmtXDq5y44wRhnCBlhMSCt3jnCYVs/knVuD9pjTclWZ2xVxTsXL/E3vYmKEnaaVMbwwtPf5irV66yevIkh+84zeGVw+gw5Ma1KxR1RbfbJtCaKpshBEglacUJbO7gnnmRpbtOcaA8U+cxiWRBB8SyhTMVYXdAGbcwtcQN+hw6fpT2xevEG7tMjCFzhgpJEIApSsKkjdQRk3KKF4oAjUeAAmcbKeq8rpg5z1qvjxSCGQ5X1+ggYP3qNZ586kn2traYbe/QShK8krg4YEtWXJ2MObK8ShwG7M3GTE2BsxWRs/TilG4QUdc1zjTDZjroUOcpKk6xwGQ8pS413d4AlEQFXY6feICdF64hdIETltJ4pBKIKKBWAhGEaBGQLCwQlSVVPiPLCqbTKVVRAJ52v4eKoibE+/mCna9a8VGW76dibb8q4Szdf/UB/u+tP4f90X/PX+rs8Vf667z0E+d44YsPY9YbGYTWjabOvpO3EF9ykl962z/kTU9+FStfPybe+Mg8enX3GX709f/yo771DTPlz/7Qd3LoXz36ymO9l2bs25J/tPc63v+/vpH4P//x5uh/IrglJnfrumZ/PGRWFjivcdKjpMQLgZdN1paqiDqEaejxSmJKgzMgBUgvQTQXCiklQRSgtZ7LG1gqU+ABGSjiKCbutNBRgneAsIDHO1AoUgm1D0hkSKxCrDd4aaiNYzwesb21gdCKVr8DZcSsLsA4jh5a44H7X4totXBSs3mwy/sf/23kKGMh7REEmk6SMAoUlbBEUcDhbh87LiheuMzg1BG2pGUjjAjqCaeEIkRQ24qRhFmvQ7pwAj2ccp9L8YNlnstHJGFEf7BA0mnjvMBZh9WSsrRzE/vmOy5r20w6C4FG0m21yPGsH+w1zmVBwG/+1m9w/rlnGUQxxWgMTmARRO0U3e9woxhSKUcQa0azXSZFRljUqL0J6aSkHca0dcywqEFZcCGh6KKDFjKUeFNhnUfIgMp5tHcIJ0hbSygXY0SOkxoVCmQcI8MQpxRojRCKAofAMsumZAczLA4vPDrQ3P3Qg43WkwDvHaUzxCoA4fn4Gr+38cmA/rUn+Gd/7c9y84ffy3csXOT7Dj3OZ/zYX+DQ1zZMn9V//iQPv+2vYAvNO77rKb7kF76FO7/3PObg4KMec/1PLfP2uOYjValLX/O2//yt3PUjH8S/vFMQgtnRlHee+0raf10RnX/sv3vdqxG3ROB3zjGdTpjMptSuUW2UShLMWTPWe6xUEESIoMI5i0ZivUcogaTx4QaPlIo4jun2umitmUwmTKZjnHdoqREI8rKgNnaeHc4poXM9F+UFsdR0dETHxlhb4IRC4qCsCYHZeEJlLKHW6CRmYdDnzKkzLPQWyIVnczriqWef5PLFl+g6hQlntHQTXFeWlpjlOUkUEGtFd2kJ128zLA1eQuEqRmnCRlFzMk5IjGXr3HOEMYh2i3RnyHLUpQgjvJN04i79tE+YpERSYfBcf2X3I4Gm+amlIraeOwdLrLQ6FMCFrXWiIKCvYjZmE3ZG+/RbMdXuASutHoMjy2yN94k6HSaBRActFts9srxiuLVLMcnIN/ZJRzlOKHwcI9OEtlBMrUEHKdRRI7WsRaPA6sA4R1k7VGmQUiJVTKhSJsUWQRAiQo3VsvHdtQasxAtPWRdMb25QZhneCeJAUfc63Pu5n8lDb3oLifWM8gwHBHgkvvn9fnqW9W3QBP/3ftH9/Nh3v53f/Jwf5rHX/Rxn/vZf4a6/PsIVBXd91y69d8/40oXHuPzDyx8z6AMUS/6j1vbve+83cPe3Pdf0+YRAvO4+zn9jxM+//Uf4un/0TSTnX93lnd+NWyLwe+cZ7ewzGY9wQYDwAuVlU58VAiM9mZbkQFZV5JMp3ti5EYvHWv9KjV+4Zlir2+2Spik60FgcxlnCOCZupRjrGhroPCK8rIHzMrQUtHVA1wbkrqYSEoEjCSPuOHGSrevXmYxHyDAk6aT0+gNavT6VhHGZc+X6RT78+GO4oqJWitHkgMxpkrXDHFpbo67LxtYx0ohYk1U508mIuiqZeke1ssCxM3eRRl06RtDNZvRUzYu7I0KlmZiSwlXUxnG0t0Sd1WxsXaGXpJRlRXFkkbilscI3DU4dkDjPmV6fuxZWsEXFVjal3+sxiBJm2YxCeKI0YffalMnWNibIyYcZZQA2S2GpzVqny+zmDtdfuMh0Zw9dezqFRWQ1pZS4sKTjJa1AUXpPJNtIH1Fbh3MVoRB4LfFeYLzHuCY4CxSRThke5ASRw/uAQoERDmEidByjwoBifEA+HCGlIOl0OHbkMNnhAcnr72PcDlkOW9RDST6eELp5qe+jVnJu41MFc/kqd37dOl/25d/O677lSR79wh/iLaNv5+z3n8dcv8HW//46Hv2HN/gf0c9+1+XP4a7/dQ+TZYjX38/5vxbz85/9Y7whCpg6S//SbYXW341bIvADbG9sce3aFY52UnphmyAIGk62UjgsmRZMrGN7d4fx3j66rrFOUBmHbNScmgBuHUVeMB6PAZBCkrRSvBBESYwOQxBg6rrJNue1kJezfuc9WEfsBW2pOZiXm5wAK6G/OCBpxQzHI2pniaQianfIhSSvCi7u3eTJJx+jGo4IpaKMPKrVYnX1GCtrR6h29+nIlKzIyKuc8c4WB3XOzFtkFKBqw40PPA4bu8jXvI5D/SUUnkWvWXWanXKfp7I9Iuc5KKcMphM2rt5gZ7iHqWomRcZ9X/SnaC90MW4+vew9HR2wtrDI/mxKSyjuXFwhRjJxhqGzJFKxsrpK6h3bUczmS9fIJjk+lCwdXmQp7TC+eg29PeSUTDgI2kyzKVQeh2q+96JCjmfoOEAJCHWC0BEqcAhreZkeb2xDxVTaEIQBSgjacYf1cY5LDLXXgG2sFzONDQN0EuDzGVJAFMbcdfoO4uUBrTuPMg1gvZxyJE6IWjFWQj4psMKT3I77twS8MXT/1Qe49GsrvPm7vo1//c4f5p9/7tt46u+/kfYvP8W//YE/ifgcGPzczh/Y2OVdlz+HyVd2sYstXvzu1/Lzb//x+cRv09ubOENyM/8kfKo/urhFAr+gnuRcO3+JwZEjtJcTpADnPaWzlEBhHOO6yfZdVtM4tDqwDUVTyqYc4LynKkr2d/fJs4IgDKhV4+talCWBDkg7EbPplNrVyDl7RwmBlQLhPdpBCMQyIEI1AdyX7GUTir0xC70F7jh9DyYvuX79JfI6Z88VmAIuXr7Awd42oRaIQBMvDrjj3tdw8vAJLj35JNXWJvcdO0l70GYrG3FQzpgUOTYQLA+WOLZ6mGo45fqTz7J57iIn73+Aex9+CJ1V9IVmGIVsuxx1MKUEbmzexJiSUGmMNKA1gdZoFRAHARhDaOHY6jJb+ZS28ZxYXKMjFMI5/NzghjJndjDi+Mk7OLR2DBe0uPHkcyTOkXY6VLu7tKYVd6ydIAhi9kdjXjr/Ils3N6lNhfEejyCvKqSrsCiCXgcnFCoI8HWFrSqcVNTOU1YOGTmYu6tFcRtROayqCQKPlxJblAglcaHGZpp6PAMNR0+sccep4+xEEnt8DeMdE1tQYUikJEhiKqUY1jUj7zC3g/8tA7u1zZlv2+Hbfu0bOf43z/PP/sEP8o4/942c/qEpF768zcG9r+P03/4wbj6o9fHwFVfezuQru4wfXuX/930/xTvSgt8/nfue/ATq8uZtp67fhY/L4/9UQRjBzrVN1i9cpa7qef3d452jRsyVMkuygyHKQ9hKidIIHQY4LbGqYfMIrXBKUjnLOJtyMB6RTSaU2YwiyyiKnLKqubmzzTCbUONxeCQC5UHBXOJBEApFLDUxikgovICr168RG8HbH3gjb3n4TxDEXXaM5aatmdiahU6X/qCH6MQsnTrJg295O8fuvY/xaMTG+ZeYjcdMjIEkJUo75FlBVdUI74i1ZLC0wMrJEwgl8aMJ53/7EX75F/4NVyYHmH6LxUOrTLsRO23J1NcYCfX8c+tAo4KGty+EJEayoCLOHDvOsMy5PNpHhAFpU/2mEo1OUlsFzDa2ufzIEyQHOXqU0em0WDlzjNaRVbpLC/iDCYdbfbpxi0RqDnV7vOa++zhz5hRpr4VMQnQrxgaC3Bsq4/FC44VAoDDOo4MQpQOQzTl60VBfhWz6OYqm7OdriystwnhcVePKGlvWzUUsjVg7eghCRbi6yFgJcu+YuIqdMkNISaIDXKjZCzzP24yZu73Nv6XgPdF/eoydz/d8xXd/O28+dYkv++lfIRwJ7nzTFdb/1Qn0odWPe5h/Pe2x9V2n2H/jIf7W9//TedD/7/Gbozvxk8kf9qf4I41bIuNvKI4Kk1Vc+tBz9NodWg8+QNxuo+eaPFoIRFlS7Q9JwoBWnGKNoSiKRpStNiilCLTGyzl7RUqcMTjhCdIYoTReCXyg2Z+OGWUZadoDJIEQSCGorKN0FkOTKaowpKva9MMEdTJh4gLSsMfGwR4j61i85350LJiFmp2dTYZbG1QCjt17H6fveYh2f4Uqm7H14ksMXOMvm5cFwWIXr7rYhYhiZwdfZkyimH0k4aFVGPQoZtsEFtT1HR77xf/I7PM+i9MP30cRKYp2QDxoU84qhAYfKQQKjSYvZoSij/aek2uHuT7aZ3M2RSgJUjaMqbmkQigkRV2xu7FNJBQbFy6zPx5ydeM6i8ePc/jhhzl26DCjUUkLQSgVUivwGh9IVk8eY6ucMR0dYOYSG56QQPVAgxQeIRU6jLFVhfWCQAev/OKFEEgpqKu80VeyEm88aIe3HiSNCXvZ2GV2ej28UuybmnqpT+Yt9ZySejWfMui2GHhBT2qyMGbPVHh1y+Q3rwqI19zHzc/uMbm3YuGxgJVHR/DS1d8zLCXTFKxl8d1PsvNvA/7Jn/ufuP/rz3Nne5t/eeYX+dp/80VMvuNB+MDTv+fY3YuNdPK/my3wo9/85Wx9dsB//brv47j+6Lz+X3vpbk4XT37SPu8fRdwigV+gwxBpLPnmAece+SBhGHL8/nvRSUKAoCUU7mCM3xsirEFIj44D4lBhSsO0yPFRSLowII0jMAY/1+0xQVPnV0phqgprmwGv4f4+S91FwjDGOIeVggPhyKSjsoaDKmfP5HR0yFK7z9LiGu1Td6IdGOOoZhndxQH1aMjmpQvcuPQcrsjprh7hxL0P0e4vEVhPtbGF29/n8JHDBCIAHTCrS2Zpil46wdK99yK8wwjHjSDBxW2O9xcpN/ew0ww/zclszVYQM9s+4KD0CN1Gnkypr68TTzJiHSKFJVCeg80t7rjzDOnyItd2ttmuclCNmbzznsrUaKGaoTUhUdazfu0GzsPF6zcItOT+46c5/NDD6OVDuN0DBmmPhTBEasGkKpjmGTNTMzYl8UKXXlvjoGFg4XAuIU4Frm5YNQKN0jRztfMZDeZDZVop4lARqMYmUziBcB6lJV42PT8x3x2sHFqlt7jAqJuyEysMDu09Fs9GldOfDmmnAwIEHRQrQTTvAd3GpwRCcHB/l2/6+l/kq7s34c/ARZPzL/bfzC+cfxjnJEFg+fI7P0QqK0Ym4d+++DD1rqP4xbt44thZ/uQXP8cvnP5VfulnUr7ne76Kwc988BUnrMELGT89PsLPfNsXsfX6gN/4+u9nRX30oA+Qfui2Ec/vxy0T+KNIgm4Cx2xjjw++7/3UnUWO3vU6+u0BoTtgJzvH5qTClZZClsg0RqUJYjmk1UkIlxZYOrzG8cEiPRlgZzn7+wfsDncRdU3sBeV0xuhgD5sVbF26wdGFVborEVYrSmDiHBNjmNmCnWpG5gyBDOYBCSoJKggIQ8FyHNIqasKswuoOWdCiSmMWjp9A6oh8NGR/d4/i6g1UbZGJpNProHtt6rpm6/nnuVHOCO88S3j8OEGakqGwsUYcSQkOHyaUEiMUnflksRCeBe+pXU1VzEgGi8xeeAGzu0uqHHEQ4bxnMBjw3MYGY1NhZNP4DqQkUBo317NxQjaOXlmBmeS4ypF0Uu45e5Z777uf63XJ+vo61foG/SRAizamduxOhmS2pqhKhBD0Bz1U3fgTz6zBJQmn7n2AB0++jnJXceXFPdavFqggRglA2KY/A/PZAocUBhUGeFfhpUIKifNgXTOMIAHpPGEQMsPB6iI5DucbfSYpBCWe3Ftq2awj4+ycNXQbnzJ4T/9nHuEX3/dGfvBdRzj7py/yI6f+LX9n9Wn+zurTH/Elv/vxbTuj8h5o88WtjLv/9g/wjvu+nbN/9wXswQF6XPA97/9C4s8I+I2v+35W1MdWXt21M5af/Ngifa9G3BqBH1heWuStb3wzp47cwQsXLvD0jWucWr2bteUHaAcxtdviBRHTPXyY6eYGdV0QyIBwuUv37pPIQRcbBdRRRN5t0+sOiMOItnPU4xH17h5sbRPu7BCZGRQOtzdm/fxLhJHGLA6ow4Cpk0xryxRLqSQ6iFFhBFrjhMQIQeY9ynmoa2xZ0ItaDE7dS1Fk7LoJ7TCm3t/HZgUtD6tHjlFFbVRR0en36K0ssTXaJ9/bQRUT6skBbG2wdNc96E6fgyhmKgOEbHSFPB4JWNHQIJ33VEohW22IYrpxSnbuWYqtbZQIWDtxgq3dPbwArRTOOUKhOKVS7gzbKCkZ+5rIShCSF86dYzadEgYKj2V98wa7o32ev3gBGQbcecdp4naPQjjKusZ4UDqgpQOctVjvENIjrKOuC0ynyyQN2fI7HD+yxFuPHGZzfcKVFyYcbBmsBUeNFzUeSW0MO6MNnBZow1x2A7yVGAd4j5YgnGNrOOSgl7DYurPxWfCC0jqwHqMEI2/YtDm+ttR4Cvc7bKLb+NTBXL7K0b97leIHI776zX+di39J8e1v+S/8z92LpDL8qK/7/YG89pJH/sIP8A1v+rMcfO/r2fr6gn/y8E9xb3jwcTN9gL+7/TaiJy/dbuz+PtwSgV9qxYOvfwOf+dnv4OTRkzzwxjF3X7xMvHScOIpReDIruOvs3Rw7eYT3v+/XMZMpvaOHqdcWsQs9Kt2UMoIoIo8DNgPIqRhJQd3tEEQBrXaECz31bETbGlaSNuOtHT50ztF97UNYkTJzFoOnkhIZhERKk4QRKEWOJ/AOZx3SOsQsZ//GOspHBFFEGsZ0nENlBd0oYXl5lUGQooREHj6OsJa8KBGhZm9rnZ3ZDI8jwhLZnN5wnzuSDhdm+9yIQ2SrQyUlRkiU1jQK+R4FCOOocUxw5J0O8d33o/sbtIxn4dQJrl+7wtqJ4+zXJX0dce9glaNRyqSqeCLfo6wLXtNfReUlly9eYG1lkUArlPDMiowXnnuJjlCcPn0SFWqyvMDT0FqjICYOA4x3ZGVJbWu0kqhUgYkw3QUmQnI1O6AdarqR5dgJzdG1I+xszrh5c5fSVfhoHx0KjCs5/NAR0l7BxQ89ifYNowvnEcI3zB8lcV6wOxqTlAv04hCBJXJNOcg4S2Fq9mzFC7MxnTAEYwnnYn+38emBL0vUez/Ene+F/7R8N//8i7+Q9Ms3+ZG7fo77gvBjCq0BxMLys+P7+cUzv8LFn5jyWHGMv/1dX0P0Vzf4tXt/6WO+NnMV7/nJN7Hyh2HK/scMt0TgD1sJgzN3Mg5SLg2nlGZKsthFqJwiv9IoSwrPQ6dOcZCNMJ/xBqbSU7biRqcdR4Gj9I5IaVKtaUUxIYJkPuBVpSmF8FTGUo1GjPavkxcFNtWMbE2FwdoKZRwgEFITC0UsJBpB7T05FuubsoP2njAM6C8vsbd/QF4XyFiiaom1Fc4otBdIJxBCUjuL1CFBK2AiBPrkaVZize7li+TTfWIhkMYQ1Ya+KVjf3iR3Am0k8cIKcnmRWsuGxurntFMaFdIKgUhT6l6LdqfDlck+ajSmNZoQdlLu7ixyWEUY4JLN+bDNCOuCewXsXL5Ct9XhyNIqYRRgnaW0Nd3BMvVkysUXL7O/f4CzILUmiCK63Q7dTou020HGEU4KZKAQKiBQis5gibEI2K1rtsqClbBLYBxRMOPYHQFHjq6wszfm+Y2LbOTDRjxPCRbvPcXrjq5y49wF9q+tz8s7dq6oGiC0o6pqUh0RC0WLxq+gmquxeu8Z5xlJJyRxTe0/ELcQde1VDruzw+JP7iB+OuS77vsaLn1pjz//jt/mby4//lF3AaeDNt88uPLK7Z/cP0b3vS9RTO7g8v89/Zhibf/b1ptY+7lzt7P9j4BbIvBLrWgPlvCyxbSE4WRKaWsqP2J94zLTfEYrjmmnETpQ9AY9Sm8YO4MWknYYUnpH7m3DKslLlJhxuNOlHSc4DzMcm0qyhYc7z+ALx/b6Ls6COjHAaJBCoFAgHEIKtG9cOb23ZMbhhQZfI2tHUVWYMqesckpVNyJoXhPIGFuUGAMOgZACKTzeWkztCHREqCMOdweYxRVWT9/F/vNPofMRvaTFxnRMIT0KixqO2X3sOWzhaJ84Qf+hBxBHlzFBgEXg8OAswoMXlsrUXL15lTAION6Kme7scaQ3wFQVUxVSek/lHJUUZK7m+uSA7Y0N+t0OOIFAI5VCe1hcWKLq9RkNx2xeWScrawAEin2xjdISGWjCNKWz0CMYpOg0gSBg9b42LeUYScHNyYxlnbEWpXhXExpBN4hoH16lt9zhicsvcG1/C6dqduoxaSvkjre9lrWrR7jxwmXygyGS5jMqFRAaS+JhIAO0E7hGlYKhNBjvwVraQpA6QSQDIgTydsZ/S8HXFf6p5zn5FDz1DxZ56zu/ibd+3eP8vUO//VEvAD8xOsw7Oxf57pUnePgbv4kTf/dxvuCDf5Vzb/mZj/j8A5vx3n/yRpYOHvmIP3+145YI/EkQckd/mdVWgqkrlO+xPZ3w0rVrPPnMMwyLMSIN0HFAPpugQk16aIVgoU+YJPRFh0BrWlLjBQReYLKMynpkT+CFpBOGhK0BkYzZk5pB1GXhzJgXzz3H0NRQlAQESKeQohnoiqUidh7pPbX1zKoZ61vruNrgq4rxeI/MZBihieOUdrtNmqQESYyvGhkIJWVDRQ2CJmt2grYTLMgWOuxwwXpse8D161fonTpF0u7QRtCmxvkhibMElWH2oee4ee4y+tgyS6+9j/TwGnmosaFGOU/bWoLSUiAZS8hbEXZiGO/sMRt0yCLNUtAnCWOky6GuuXL+JVRWISJB6WsCESHm/sRGOJzzrB07wsbVa+R7I7zxiLnypRBgnWFWjimyDDGJ0WlE3E6pygLdidFhQJYXbBUz+mGErC0toZG6KeEkKuD42gkyIdnYvILUklwaNoohi8cGvO7YMa4+8QyzjS3SKGoMdQpBiGRZBvRQc0mPkF2h2C5mhJFiRYfEThNJhb5d6LmlYQ8OWP7xR7jw8wPe+q5v4q1f+5EvAD934zP4WfdGfvOBf8f3fMXP8k///Rdw8v+o+W//PuDz0/q/O+6XPP+XWP6pD93WafoouCUCv9Yho2LEdGNMWWaMRlOGleHmxg1m+RTnS5YGKxw5dQd5VvDitZfYn04Z9FtoEVCZCq0UkZAo3zQ0NQJX1ezu7FB6QxC3GfTXOB4ukrQkJncMji/wuqVlXpwO2a0BZRteuZDE0hF7g7YK7UPKYsqVGxep6xnGFGzduE42m+CUgDCi1e0TmilRkbCcdFjSKZmpyMqSREUIqWiUoi2UBXqS048Surs15U7JIFnE6BShY7pesha28ZVlWhTEQcpgZYHF7gLj6ZjWxQ0WZMw0CdnTMIt0w6bIasI45iKOsTO0fcXOpRcwiz0On76LVtJHo+lJxXR3zCnZo39ylRd3rlD6GlnnxEGjbOq1QGjVUGkHfQ72G6E7AIRvZi9ks6MJdNAYqxQGF5TsHeziBydw3pGbmq0iox0nLMsAL8A6TyCbi2srjDi+epg0VFy/eR3rPblttIwOzISTD55lPwwZr29QliWB0qwtL5NKTehtU/8Xmn7QZkEECKVJvUJ5gXIe8bs0mW7j1oU9OGD5xx7hwrubC8Cf+JoP8b8fes8rzd4vWHuWn//hz2d0X86fb8N3fmfC2a99nm/+F1/Ph//qPyIQv2Pc/t5cEv8fXXx5+dP1cW553BKBvzI1H3jmAxzs72JN1WgJ64TpbEY52WVUTml3OqRGcWL1FN0g4eZ4l0FviTgJsUikVARSoUUzcatFs8EX3iMclNmMsduml/YZhBrbWcBUJa3ugDvaXWydYT0kQqCcJDYVdjJkNHG0l46TO08lDZUvmYwPKKpiru8j0V6B8djaMvM5VV1hWoZO3CYHjK0o84LpbMx4MqSdtGm7HVRymOV0kbP3vZ3RbJ31csh47xqnTz/IsbhLNjuP7q2ydvgESwtrJEGCCwBtUQqMkeyXFZd39rBpiJSCg609Vs8eZ326x6aymGLCyliSrW9SLh4jlpLV4YzOzpQzZ+5mZXmVS1uXmNZ1I34WBmjZlLxiqchDi1DqFSE7gSAIIjqtHjLQVNaCkOS5RUqLV5bZaEY1mTTUVynJhed6NqbbWcQDDo9znhjBogoIwpR0cY1IKC7evALOU9QlUzKG2ZhTp1eZ7GwzO8gJI43LC1pIjGQu9mYxxhOLACEUyjVZvnUOxLwkdht/JPDyBeDiz3b4srd/C/Ybd/k39/403zp4iUe+8g5uGOiF8L7P/Ed8+Rd8G6d+8hJ/58se4LuXnweahu5f+2ffzLH3327ofix83MAvhIiB3wSi+fN/wXv/3UKIU8C7gUXgCeArvfeVECICfhp4HbAHvNN7f+VjvUc2nXLj4ou0+11a3Ta6lRAHCUfcMu1IczMf49sBFzYvE+iYk8tHabXaDYtEWmokTjb1XtuIMoKzaC8IpCYUMVI66iJjWtfEcYtOq43zkNkKpxWxVxhraVlLPZ2xd/FFXjz/LMHSGquvbTO2EzJfk4YRcRRTRzF5abDIRipBK7TWzXkIGFY5l0dbFJ2a8e4e09mUKNBU+0PuOnyKu87ehVaH2J4ZhMs4vnCU1ixkZ1RwT38NGSXkR+6hXj5Or9sllCG1gwzDpJ7hpSCSiiWn6YiE/d0pWRKgVxfpLA6IqgmZqlg9fphknJOOp+R7+ySDPuX1DTqloZiMEQuLVFnO1FUkgaKbJKQ6RCFxAraLiiIrwAqU1HjjqWtHnht03WTvbj6dq4Smyh0dFRKECUMtmDqDxTOpS7bLGYd0SN87rHcEQhJLhdNNwzpdPcLWziZFVSCcwAOZtFzItjn7Gffx0m/NsLOMg81NEusolGg8CyQUzjZWmdZihUC9kgRI1Efhc34q1vZt/P8HN5kQ//IHEf8t4l2f/63ceGfNz73lJ7gvbIax1nSbh/7GU1z+4gH/6Qc/i2/+3ifoyYSfmxzn5D85f7uh+3HwiWT8JfA53vvp3Jj6fUKI/wf4VuCHvPfvFkL8OPC1wI/N/z/w3p8RQrwL+PvAOz/WG6RJwud9zufjo5DcGpwStHVIO0w4fvQUF7d22Sz3sMKzP9rHW8fMVyRpilI05ui1YWYKJvmMWAb04pSWihqnFu9pI1jodDFFQWAcHafZryr2sxllIihtybTM2ds7YPjkOcpr18j6Ee2TK0yDEucNg26XZR3RWljDLE/Z3NjgxsEeWSRRaYgKA6QUSKmRSjMVhmvZHjJ0xGmfwHiqnSHVwRRflKSp4VDqGRUFw+mQsi4RSnPxyhWU0OR5yWDQJY2ieenC4ZzA6RCUaAaXjCOtwGeWajxlum+ZFRk+EvhAkEUhKvG0KofKcsL+AKqasqx44cJ5zl+7zI2dbVwkWU7bJDqgHUR4DxbPdDRmOhw3zVXRXNjq2pCREYURUmhQstklyJC4l/Dw6Tuh12VDec5PD8glFKZmvcw4krZZICAWDQsn8BB5qKUglJpjK6tsvrCFxRNqDRJqZ7hqDjj5hod47jcf5cbOLsOyIGqlxA6EULQkaAlZXSNFM+imgEjKj9Xc/aSv7dv4H4MvS+Jf/iBn/qPgf3/913D+r4X8wtt/jNdFIT98+BHO/r2v457vusSPf/uDfNfiS/zrm69HDDc/3ad9y+MTsV70wHR+92WtUw98DvAX54//FPC3aP44vmR+G+AXgB8RQgj/stPJR0AUxfQGKxSmps4zijInqyzaK9pRwvHBUVpZGyNqfO3ZPxgy9iUugaQVoOYDTto6EgTaGFyWUfoCaJyfFoKY44vL7O5PiIOQO44fYysqsVZyZbLJZDZit5oQasGxe+4iOnGU7cSTry6z3G6hbUAiOywHLVZlSmdNY848xJWDXX7jpafIqNEyQIchQRASByFpEKKFJPKK0AnscMqJk3eytrDE1dEGdneLJEmoqhkuFJTC4lJ46sLTlNYzFRV39Y/QS7pETpIYi3CGsmwol946fFkTK83SoSOEwz0Sk7O9PUJ2IvRih5n06E6KyQU4R9tD4iTX1reZDWcEi10yVdMJYtpJihQS612jtFkUvHT+PPlshjW2CfBaz8s+NdaphitpFUJKbGB50+tfwyBp4yuPSCP2oxY3qCgVDIuKl0b7tAeak1KTCxh6w54tmfoaby1lv02wsoyfzXBS4I3FG8vE5uwJyYn77uaFxz/MC1eucPfddxHPPY4TqQidJ0Lh/NxRTYjGQOfTuLZv4w8J3uMfe4Y7v0bwHZ/7V/nLP/LLfHV3myc/9x/zWV/+bfzTZ9b4rre/xMWtJU6bG5/us73l8QnV+IUQimbLewb4x8BFYOi9f1n28AZwZH77CHAdwHtvhBAjmi3z7kc7vgdKU+O8I45ClHLMspzJeMwg6XKo36cbRVS2Ue2MhaTavcnOhUsMVvq0F5aagItodGCKnKIyzGYFo+19Dna2cdOCy3fex50PvoZeK+LKpECoNsu9w4zLkkw5UBC1A3oLKS3hmGX7YByxMUShIhaaSIVNo1ZIYq1Z7vVZ6y0wsxVCK8I4ppe0SHRArDShVMReo2sQssMgbqOVZqhy9of7DLMx7ShCK43ykOoA0w4J+h1UP2FkHXt1zhHdpt9qE0nB7uaMsiwps5yDG+sMwhau2zB21pKIbl1w4Cw7uWU/VYwxtIOQvCpJlWb7+k2uXLqOrx2RLVg4usxyf0AnbVGbGiUEzsHm1hbXr15D+sbuUgBKaYQQFFWOMRVoEHikVqydWOWeB+5BSo21jnRWcaLVJrcZG7Ymqys2pELnI4axYWcy5lo2YaOYYF2NtBbnQQSSZLGPlYKWDohnBfXBPpO6JlyM6a4MeObDTyEPLbISpywGMcY4Uh0QSNWUepqFi/04Y7uf7LV9G3/I8J7gV5/gZ//qFyJ/7Jf4y91d/q9v/lG+6le+Husd7iD6dJ/hHwl8QoHfe2+Bh4UQfeDfAXf/j76xEOIbgG8AWFhdorQlznu0lERhgJfN8FMrjYkiReE9ZlKyub7OwWSIySbsba/jTUnS7lCXOcV4ynRvn/HeLuPdPcrRlGqaYSpLoDXFXYL02FGCdo9hnjMbTjG1pdM+wZnWMvH2i2TViLoas2MqjLR0uz0CrQmFINEBSioyb7HWYMqCrYNdkkATpxFhEBFoTRomTaPZQewVLdc0SlUrQQqJdpKW0PTStDGAlw3lVAswZcH6+nUOHX0YEYckOiYfF5TOoLWiqnJGkzG195x76mkmm9scWlhir9OhszggSGN0oBgEAd4IXOHZj2BPVlzJ9jhVl1y9cJW93SFJHOInDqoedW24vrHOIGlzeOUQzsGly5eZzTKkVAgt8NZjbY1WmljH1KYJ1GGoSTopn/m5n0UYhxjpUCgSa+kWNTKfUJgxEihdzbOjbT60U2JrMze4aczgg0bFDYCh8BjnmBSGXhjQP3IUTMnuxi6rD93Jc098iPb2JsXaGghBWwVIPAEKQ6O0igD5svH6p2ltx6T/o4e7jY8A9esf4h9/75fxpu/5AT4zbvHvPv9HgIDec+rjvvY2/oCsHu/9UAjx68Cbgb4QQs8zo6PA+vxp68Ax4IYQQgM9mkbY7z/WTwA/AXDirju8wVPjmmahMZRZTlYUXN7dpExCfByBsJi0QqqAembQUrF1Y4Min6GUxmcVqjRQFERGEkUtvE6gdijpCU2F2N2nnjUSzr0woY7b5KUiqqBTwfX1a5hI0llaZGGwiAs0INAqJJABeDBlRTadkmcTam+I0phaSnQQEaPpOIXIDfu7u9RBSHewQqCDxu1LCJxwjX6+0VhXN9r0NL2Ivd1dnnv6GcThZU7f/yD9qIUYpKjSsFvnXNrdIjM1Gzdu8tJz55DWYcuKI3INIxyp7RB32gRBzKJOCPAEZcluaNgISy5N9yidQwpANVFxf2sXYz1pu03Zqeh0uuA8ewf7SB3gxdy71nmsqfHGEgQxKg0xAInmzZ/7mRw6soaTrtkxeIETniUvuLvdYVhUDG1NXmZkpvHa9VqghCSQTXNeeI+ah2klBaFrBNZKYMsbgiCge/wIAsU9nRa1MdTWsllmHE5atIUioPFXb4pVjR/zJ2Lp98la212xcLsM9ElC/2c/wDu738HPf+f383DU0D6HDxhWPs3n9UcBnwirZxmo538YCfB5NE2tXwe+lIb98FXAf5i/5Jfm9x+Z//w9H68G6gEvJbWxTLMZxTTD5Rlj5dnrhEyjCikN7TSg2x7QI6B9aIXqQ8+QXbvC3sVrLCwvc/LYSY4srdButQiTBBkGOCGoaourC7pBREcGRC6l0+4iw5ixEUzLAnxNqQPaaY9wrU/QTrBaYedCZwiBtxZnHLqqGMQpS602Rkm2ijGjuiCUIXJa0Ko9JxeW2U4ttYY0CJDzLFSIhvXjpMdg8dKDaGwfhXXsbm5xcHOHvRev8dDpe2knEhMpdNJiVGTsbFZ02m2evHyFqigRAnaGBwRxyN2HVgmCgPF4QuQcC1HCopfsXd4gdxnh/Xfw2I1LsNanvi6Ig0ads8hy/PYeSmoOrOdmtEkaJwzH48bQXjSSDAAWi6kN3uaknT4qDLjj7ju557X3IQNJCAgvyPF4pUjwLHhJyws2TY0WgkRrnGhYO3JuxOIEr1wEpJTN+84vBHJeuvE0pSYjFf3uaXpSkwZBo8SJYDq/oCmaxjEvH/+js3o+6Wv7Nj6J8J6VH32Ed9IE/zuDFu94/Ye52Gr9Hu3/2/jv8Ylk/GvAT81roRL41977/yiEeB54txDie4AngZ+cP/8ngZ8RQlwA9oF3fbw38EBV12TDIcVwTIjGthLKliRPwAiLFpA7Q+0tM1ETxwELJ44iq5JeGnP0jtOsrh2h1+4SyMZwxM9LKA3F0qI8MPNQwWQ6RkWOysdU1qAEyHaM0gvU/RQjQAtBpHQzGOY8NstxlaXdSlno9nFIZs6DLcnqksp7dF7S7a9x96kHWe1vc3lnHYtHvWw6IgRWOIw3eOnnjUgLXuKrmp2bG5DXPPdbH6TjNa//7LcSrS4ySxQjBVt7u1x75Am2rt5AC4HXCqslG+Mh5fkXeOD+++kPBgRpC2Mck919rn7wWW6O9zkaaYrTx2jdcxK9fp16PCNSTTN0luWo/SGLx46jHFy+coWtnW2chTiMkVoSRSGudhRZgbWGaTWjv3iIt/3JzyRJdbOLcALrwXlLGGh2XcUT2QG7dU6oFKGS1HiC+ffx8neihEQr1TRkhcA7j5QCJZpJ3dSLRm1UKmKlUcwDupCkSmGdZVSWaC1pi2ZZO9eYt3yM0PxJX9u38UnG7wv+37Lya3zj3f8feOK5T/eZ3dL4RFg9TwOv+QiPXwLe8BEeL4Av+4OcRD6b8cH3/gaiqjm8sECysMxMaaaRRAUNK8Z5x7gqKZ1F44icZKkXcudrH+ZQf0DS7iC1xkiJExI9t0+UQqKRGNcYp+R7U+rplLwoSDtdTLCEUy2syhm3PKbTZlhOCWVIW0S0kETGMtzYYOfyFV5z133ECyuUlaXGcFAbrk2nTL2lF4T0V4+ik8Ps5pbxNMcJ2ShMNt/N3KjEMy0L9mYTtIZYhzjryccjbl6/gfaKSCbYcckHfvU3OPzwPRx/6D7Wd7d58pFHMNc2gcbTV2iNCxQ+1IxNyWPPP0On0+PsyTNU4ylPPv4E5TQj9Y7N936QtSBEHV/l1Gd9Btd/81EoPco3/Pcsyxju79Nttdjd28c4h9aaGkNlIRaeNI1Ig4QiK6mF5+HXP8zy4gJSNNr4RghqZxDCM/Y1zxX7XBEFMoro0ATuUjQLTyn1SvAXHoL5EJ6nuSAGQiK8a2QitEYr1Qi3KUnkfWMuPx1zc2uHtN9jsdMjszWBbpzCnHFY+9EHdz8Va/s2PgV4OfiL7+A/fOf38eJXt7nz6fAPbNr+asItMbk7Phhy7tEPcWhthXYY4DstCFv0ohgd6jnrx3DgJDvFjFldM/IGJ0KO9BcQSTzXZvdI1wxVCa3xQgKOsq6YDHcYbWyS+pBQaDrtNok0RLGkFJYbImeoSoajER6LSmPwnnIy4sUnPsz1Sy/xmvvvo9Ntk5cVAs/+ZMxmXhNHIUtJm5MLS3R8TL434XoxQZspUnq8aOr3znuMtVQ4pkXOpMoJvSCvckIZsr29zWwyRUhJt9NjeXGVcT7iw7/522yN9tk+2GeysUVLCJxUIAVSa1QUIEONiDRWS3JX8+gHHmFyfQNbWcJWQhoFqMJy432PceRz30S8tsixN7+GzSeepVU64rqhTu7u7zHNMqZ5RhRFOOfwzelT1o2WvlaaKI1ZXV3hodc8TCQEDon2jtIYPJ4yEDxfj7mpK1KhCYgb43QaxU3nPc44jKmb9/ACLxrDGC/ACYEVntI3x+uiSaRAGYPJptj9farhhOWoxWx/xB1334NtdZi6Eq0EUqrGztM0538bf8zhPas//kE+695v5be+5B/w2bPv4Mz/+fTtks9HwS0R+HEem5fMZjn7swwCSbvdItGKNhI7ydnb26fbiqhVwDaGwpbsu4ydaspq0mm45U23ACE8hfdYL7BVzf7uFhdfeIbQOgZhhzgdsJoucKjT4qGzd7FTzVAjA0IzLLYJWm2k0Lh8xu61q5AXLA4WaA8GTMqCMBDksykf/NCHSVaOc+rs3UTKY8qK6WQEuaGONFICKJqE379SelAIOnGCDWBaTRFIpJVsXL2Bqx3SC6QSgMeYimxrhyd/+Tq1gNhLlJIwD/wqCpFRAIFEBQoValQg6C/3yXZ2wXioHcSNWFyY1Ww+8iRHP/P1BEsDll9zH/tPPU+MoCoyai8wzlPVFUIIer0eURhSFRXeKpKkR55ljMfbrC0vMjUVR7XGGoP0UCtFLuDFcsxlZZjJgMh6ZlWFcRaPwOLnchdNLu4AIwVGNG5swVxR02MJnEWUBbPRlNFkjMpyVF3h6orYK6wT5KMh29evM1hZxkvJrK7wCDoymvcmbkf+VwO8Mdz97c/yNvmtPPqXfoDPu/vrOPL1u9idnU/3qd1yuDUCv4diVjDaOyButeiUJT4vKMc5Ny9cYuP5i2SzjMHZO1h90+vIw5TCV1hXMrUFBR6JR+Eaf1UhyKyhLg31eMKNCxegKImUIgIWu8scWr2Tk8sLdNIWIlC8OYo4RcVsZ5c94bCmZDzcY7m7xNnXHeelzSvsYDDTMQsh5MMJcadF0I6Y2Rm5cIwOclqTkjPdQ8RK4zCNZLJ32HmWK7VG01BDc1cy9h5rLdnuiJtXroNtBOSHo30efewD1L7A4Qi8aOriMgAlUUo1x4ojRCBwgWg8apUndyVpmnDozEl2L6xjsqqRn45DIhxMKjYf/TCrb3iIeLlH+/4zjJ+9jMwkZVmgfKOMqJQiSRoKamZKAimwZcZstEdlKoJeh7DdxtQ1Dk8t4EDB+SrjiqiZGEtelpSuyeCFViDl3BFL4L3Du4YtFKJoCcUAyaqKaIcxWwdbXHj+BRJnsN6Dtyjhcd5SKYHJC8YTR5JE7N7c4O43KCoBhfdIZ9HeIJKY+mMMcd3GHy+4LOPub32WN/ItPPOF/xef9c/+MqtfJ7Bb25/uU7ulcGsEftE04rLJjN0bN/HesXv5GtPZmOnWNqpyOGuwkzEdBHkYMzMx1jdaMHu2wEgI5voypXONUNp0wt616yjvOH3yLGdXjnH36il0vMTUtDBSUXpBLGM6Qcju9mWy0T5iqYcVDqsVXsVs5RMOTIGsBUHlONld5OSZo6wcOcy2KbEuw+clujKErjFUqY1Bhgrm5Z3aNcqfWNtcCIxhls+YlTnSCjYuXSE/GOO9wCEo65LaGXSsQGu8b5qeUilEoJBaosKQKI7xocQFEqdAqEYAzeDpLHQIWjG2spS1IU1jvBBoIUkzw86Tz7H42ntJjqwinGDn0aeJs8aIxgmHV1BWFcorZrMMV5ZI28wdRK2UI6dOkAQB0jmcFAyF44VyxnmTMfEVOE8gNX7uhOK9RziPloIAwEFgBWHtScqaVDruXD7EatJimM24cv0Guq6IJQgERkhq4XA0DuxCCkpXk6RddJlRWUuFJ9QBNeCVZoyndLeVW15NeDn4P8Bfb4L/P/3LrH6Nv535/y7cEoFfiGYIyEuJrS3laIaSklAL+p0+sjJMqhkLCz16qpHebScrRFELaWqU1FTWUAK5s5RYwtpi8oIjJ09xdHmNxaTHWtRjubVEKCLE1FDZkrIWJEqynY1537lnKOOYIO1T2BzZabG+u0s1nlAZy5pscTxeJbUakxdMp2MqZdGhRltBWFkmO0Pe89gT3HPn3Zw4fhK8wFjb8Mrn5Q3rLaUz1Di0FNhJwfqFS2AapUsvm+EjocHLhk5qnUcqhVIKpRUyUERxRKvTxgaSwlm8dCDBK4FzFqQg6qTkowxnLK6s8aHESNWwlXLL1odfYO2Bu0iPLtOfnWH46LO05MvsI6iqEpsZqixDepphtjAk7XU5NVgk8VAFij1vOFfOeKGaMRQWL5odSltqAtGY2qQI2ki0cXhjKLKC2AtCYxG2MVG5tvs8V0LNdp2xkY8J4xBtXcPS8o00h3KGUCiKUFJLGIWCdLHHvilQOiDyjkgIpA7YNQXG3874X214JfjL/y8vvONH+VP/8stIvnMZ99Tzn+5TuyVwSwR+KRXtdhvjmiq9qSqKLEcGsnGYcpZDRw7z8P2vYdBbwWvBQmeNXrxCMSvYNuvsVGPGvqJ0hkh4+mmLzsIqcdyiH3SRwE42YmfzOmvtRXTUASepqwgnNVcnU+ThY0SRYyYdRT3l+s2riCxj0UTc3TnMXSun6Kg210c32DX75IHHJgmRg8QYorLm5gsvsbO5wdG1w01lWUgUTZnHeocTgtobjHNEaIQLuHrjGpO9YcNrVwKhJDJoHK6QTZaP8EjZaOUorQjjiCiOiaKIWnqMFxw+cZSF1SVGozE3rl3DljXp4oCDrSGYEmsMYZpSC9kYpjtIMsPOs+dZuO8MnTPHwViKC9cJ0UgD1axiMpwgnQclmwuYlCy2u6x2ekyU4Nlqwvlyyq6wECoGaFrG0UGw4DULMqCnZCOjYBylLZjVhkwEVHWFRmCloTIVThmmdUncTemEfSIBbm8fTVMSk1KCFORlie20SQ6tNJRWI9h0JS1AS8nRJCFEUeflJzK/dRt/DOGyjHv+t6v8+Tu/mPfe/+/5np++m/d9zevxjz/76T61TztuicCvlGJlZYXJbMZwNCKfZVTeEqYhsdbEccyJ06dZW1mjE/cJgxar8SrdqEutK9xkzHYxxQhBrDSLYcpSu0vgwVuDsRPWNzf4wPt+na2rlzlz8g4evv913HvsLEc6p2kHLdJOiTEH7E03yeqCbLSDHY1JvORIb4nXHLubQdLh3MZlLlfbjIIa12pDEBBKQUvD5vYmG5sbLPd6OOcwxhAEikBpnK2pncd4z8yUlKYm8JJimLN/ZQNfO4SSKCmRWsG8Ho7weJohKmstWuvfuQAoRZqm1DgGJ4/Qu+8MRxYXuM8KstmM8+de4MozF4j7+xRuiFMKKwVCa4yj4cU7gSws4+deQtx1B507T6CU4uDyOjEardycRjnXthcC4xuP45vS8sxoi20FTkuO+JAFp+giORzEdFRA7CBwDuEMuTNM5tO2ubXMrMEpSeWaGQsvBDhPJCTT8ZjFpT5lXWNaLfxsilYK41xT719cQA267NsaKov3oEZ7JFHENEroxh2ORQlhHDfzBbfxqoTd2kZ89XH+7E/9Kf792f/K9/wz+O2veBj39Auf7lP7tOKWCPzeN9lsFEZIqfABJIM2y6tL9Dot+r0+x0+dIonbdFtLSLWA8BFKCExQMSynjOoC72vIpoztmKRbEwuJqQuuHezz/kfez4svnWPQ73DgMnazXUbTAbVdQwYxAZ7x/g43ty5QmBKyCUFlCKMWstXhWjXlhWKHS/lN6khA2sa3u/gwJvOWifC0Th4inp7GTkrGRU5W5PR0gneNFIXBkNua0lRID8V4xrUXLrK/tdMYxyiBkhK0QoaNJLF1Fudco5rpLE3RaJ79CkGgFHGckhnL1SrjYGR5bdonSiPuf+3DnDp+B9v33WTz6g329nfJsRw5fQfTMmM8GjHe3YGqoF3UbP32h1j8Ew/TOX0EL2B24QpBqFFa46sKpRSxDhFxxIGCpyZ7TDWsJm2O6hZ3iIgOEuscEQLnPUJJClGzWeekSiOcwzfSmXgLzjsEYJwHL9BCI3GUxjLd3mUqPEmrhasqQuPwyuO6KXkSMq4KmFtbeuGpTI3xlspa3rt+geWgjYii263dVznMlWvwVb8T/N/6fffS/QsD7MHBp/vUPm24JQK/NYbd/T10J2X5zFH6a4ssLg7ottsESpMmLaJ2mxzHvikRvqYQjkJ6doZXefLaS0xTRVrkvPjUh0A4Hrz3YTpRm9l4yBNPPMHFyxeIkpDOoM/i4jJRmrJXzXh64wJHuofZLgrq6ZTx+gbj6RA/HZOEIfHhDtvVhN2iwGlIBgsM2i3CtI1QAbNqRukElfKoXo8jr3kQt3PA7uY2G/s7dOIu3ksyV3Nzusson9GJ2wSV46Wnn2NrfYO8KJqavhAgBEIJpBZzxyvwziJ0ozhW2xrtNNraRvQsy+glKeG0IKwtl4sp2hnO9hYZOMlgqUt7scfhB86QVxWjuiSTnshWdKqaxaIgGw3ZfepZ6pt7bL3vaeRbXkt6+ihGWIIbI+JCsjHeAm+wQlId6nP8za9lNB7ylqOnOBl2EF4QukYjh7nEQm0NTioOTMHz+9ucXlqhI8FogS8tyGZiW/qmxIUXKKHAghaajrN4aclMSdLpYkZTTKgZxzEHVYaQAuE8VjTSzAKQCJx3lL5mw07QVYm9XeN/1ePl4P/FP/Wn+bUHfp77/sZf58zfeOJVO+R1SwR+PMhWTPfUIbqHBqRR2NgTxm2EDJBhiNEBI0p2inWEnJDogLSGsphQe8lkMqacjYhaKUGasFdM2dzbZuvmTcZ1xskzd7C0sMDRw0c4uXyMOIxxUnB1POTK/oRxXjKbTQlmFezuEVQlhw4d41C6xAjPZHKAd56TR86ATlBBQkuFDETj7zuta2hLWkuSSavFKB+x5zIqX+OFZDcfcWNygEfQqi0XnzvPwfYetraAaOQlXv7nm+bny1OtL3PetdLU1mKtfWUmII5jQimboanxDBYjXjQZZip5KO6j5gyYNAhRspnwNWUOBMhUM9OSaeBY+Kw3EHf6rH/gGcaPnUe88W7SMydxbp39c9cI8ZQY9LEjnPkzb2drd5u7USyJhEWV4Lxlu5qiwoAQSeUclXcURY2VIAPNrCrp6Ajp5pIajkZnxzqkFISBbuivhSOWAVKFaAyiKHFpRNFJyQLFQVWA/F2SDKIRY5NSvrKgXtbncc7d9ty9DeB3gv+3/Ju38f53/QBf8OK3s/iTH4RXIevrlgj8MtIceegs0UKXMND04xb9JMUjGNkCawuWZA8lwWoDTKiNI68FiQ3oSEFmawb9Acsn7sFUhqqY4OKck4eOkfa6tJIWqY5ohSm9IKW2loNyykE2Ia8Mw1nFaDIlFQG2s0hgSo6vrrG2uMj1fMxkZ8h0MuZAxpgwIBkscCA0KZbQQ24dFseFGzfJZ2Mm4z3S5TWu5gdoB5vTfWa2JCFk9/pNtq6uI2qHMx6PeKUcobXGeoufBzVoSmHGGFQY4JzD2oYaGoYhSikmsxlWS8y1m6wOTnPFVFxxE6SDk0mPAQEtD4lstHDiRCFwGGNZUiHXnGOXGeFrTnNi0Gbv2YtsP/ciK5xhcMcxbGbYf/I83WOHOPX2N3H1yacZPv0iV8+c4dzaUeJDIZ1AcbWcEBnN8Va34fXTWGGaqmIliEmURvpGA0koiTNNXd/isb4xThF4RKAbuQYlaIkQ72G3rHD9NtuzEQY/H4r7vXj5AunnA3PwsUXabuPVB3PlGi9+52v5Lz92gZ//m9/P5z30bdzzvVcxG68u165bIvAHScTg8DJRGNOPW6RBjBaenWzEhZ2bLB1ZYxCq+Xbe412NtRXKaBLR5nCrQzEdkec5Zeg42l8i6g1I4wApAyrdjPArJ6iN41oxI7c1hauxkcZZy2g6Yn97B1F6VrprKO3wQUg+G9OuPf1aYUqHnsy4/PwLjMqCZHUJqRxRq0WYtjjY2ma6tU0carorC+z7miv5AVENRV0TE+BHOZefe4lqWiA9GGOQAhxNdh9FUcPhN9XvCli+kTqwTaMVeGU3ACB1w3RJKoc5mNHuBWTKcLGcUNIE/yXpaaMQXhIqiXrZOF0Iklafrgm4mB9Qnlqif3SFzsGE8YUL1M5z6C2v4d7P+2z2RkNe/PX3MXn0eWI0GxeucP3GNRbiiLX+Aptljq5rFnSzu6hczSzPiZOYnogZVyU7zhPGEdJLbCCpraASTaZupAPn0ZFCRArrHNoY0sGAjvZcHe5QuLoZZGu+hKbcIyTQSF57RDPz4CWRDmmnbTbVbY322/gdqF//ED/1174E96O/zH/5oh/kHdm3c/pv7OKN+fgv/mOCWyPwhyFr3QHdpI1WAUIIRtMxV29uELQTVlePoYOoSeKsbAy1jaPlJRGarm7TkjGVr1DljNR16YYRWoTUojHi9oARMBE1lfZU0lEbh7YgCkNqgckUM56SihCXKOKoy9Hl41y/cJGb568Q97uYg4zACZZ6XYJEM6tm1PmU2WhIned0+h267RbpoI/TmmGVEZSNIcvx9gJPPfkBdta3G0tBHN5b7Lwu7r1nNps1zU8BYk5HEfNAZ41BBbrhss8FzrTWyLDRzJ/WNTvPX2LxwTPYlqBUnuvFBCc8xB00IYkIEJ6Gpy8l0jm6OkRKSe09N5gwVBV+ucdq9yGyvQP2JgfkGMY7W4wuXSW04CSIacG597yPtf4iS3GHw2GLtKVAQO0tCOi0W41UsowQWlEYg1WCnbriYjHG4bGBQiuFUAovmhkE6w0axdF4EdXvsb1xlZmrEaJpdIt58xiai56SIUEQzFlPiihJaEcxLR0gbvM5b+P3Qb/nCd79FZ/PvwoUpx9/4lUV9OEWCfxaKlY6fdpxCy8UWVUS6JCH7nsQ2W/hoxjvGh0eaLJj5RSJjHB1TZEVdGUKImetHdPRikg0U7N5bRjbgiCOEaFm7Ax+XirRzlPuHxCPas4M1rBLQ57aeIyN8ZCltUM8+Blv4+zRO1nTA3Y3djm3fgkjoHv6CCYSGGdo1RJvXWMM3klpdzostfv0On2kChCFIds+oJrMmGaO4foWWEdeljhn0aEkjCKsa4o9zjVBX/6uGrUEsAIvQQaKQDcXRzdXzwzjGC8F/UHMPUuLtI8e4plyyNPVmErDZjnDAC7ps2oFydz4xM93DVo0evmrYQvrPSE5I2qGQiBWFlC1pbSGMA1YOLnG/u55EjTCGmbXt/DDGdVqzYqOGhZQHDXyFPMyi7MG7ZqJ35mpmNiKS9u77JiSVAcI6XFeIP1cRluAV5LFTp/FtM9+nrM/myDkXMNnfmw5LxkppYnC6JXSl1QK7z11XWPs7Rr/bXxk+MefbcgTn+4T+TTgFgn8km7SIQhCvAqI2m2WV1fxgeTAFFyfTVC6yeassThh0VKQmZxpNQNRk4QBbb3EIG4RBgFIQekdFRAGAc5ZpllF7gyJF4RAtjfk6ff+FoeTDg/d8zruWDvBzeuXOf/CC9ii5ODGDSbJIkJGvPENb2P3N2fsk0MaI0KJNAbvJUkUMOj1iYKQMNB0gnRertI4ablR7XHpxUtsWkHa6SFlSLmzg/CSKA4apcp54Pf+ZWOW32ns4mmCohRgPML/Do/fOcdgMOCeB+6j227E6jyw0B1gNi5wsZ5QKNgqczwSF3VZ8oqIxuqxKRdJtJQsyZQQSVdo9lXFxNYciJyKmqIqaHViFh88TbZ3QHVtn8AIVGl47D//KmeOHyNc6HMwG5Mq0QRg1wx7zT8Z0vlGax9PYBsBNmUbCquSzIM6uMbwC1kbyrLi2s4WU1PPBe4kzluEc40yqWwmmb33lGXZ6PtLSaA0UjrCIOR2oec2buP34pYI/FIqgigmjBMIQwQCITxGeLQMCJTGesjKgryqENohnKLICrTWBKFH1IZUaBySmpdds0B4N9fjtyjvCJ0jMIbtqxvcePEi5f4B5/YvERNy+ux93HHHnZy/cIGD3V0e/a3fwBtHurJG/9AyR04eZ7Z+CVl7lNYoFUIY0Ys6LEY92mFIohSBapg+wnhurm9y7fwFqrzAIFBaIeKQ5eUlqqogL3PqqgbfHNM7h8PRxPsmF7GuaVpKr3DGU1U1TgiOHjvGQw8+yMLaIVCiUb/0oBAMnOdPLBxmsn2ZdSxewG6VIazDRC1WREgqVFPymZd+UqEJw4REa/qmYlIWrCPY8jMyIzjIppT5iMUHTrM5zLH7BaH37K+v819+9t38T1/xLhb6HcqihpbCArVpJNJCIJCS2EOqQ9pJi41JwcwbAgehlUjRNLqlbLwUirrmihuyng2xsnHjEjS7AiEUQRAhtcIaS2VmCKXmbl2CUEeEkablBPp2c/c2buP34BMO/HOXoseBde/9FwohTtFY0y0CTwBf6b2vhBAR8NPA62j8SN/pvb/yMU9CKdJWG6vkXJzSw5ydIRwshimZNYxcBUpS15ZJlRMLj/GGWZlTFFMW4zZt10JZi9GWCsitwbqGHx8jyYYTnnrscSKf8vCdr+GKD7i4/xSXzp8jjWLSJGGx32cnm7F+4zoffPy3WT11mvIlwfMXzzOdDKkvG/r9Adk4o8pq1o6cwSws0ztxhG6nxWh8wH424eq1K+zuN362QRggNARRiM8NFs8sG1OUJbaxrML7uZBbc8UCP9+GvixhLBUi1Jy86yxv+7zP5uypU2ilGAmHqSo6OgDvGscva1kUmgd6hxgf3GQcOIyAHTOlrgtcZ8CSjEgawifaOxASjaIlINKC0DeTuuDZcjWFi/GtlHE1ZvU1d7H9289B6XECXnzpEj/7T/8Ff+ZLv4TFY4eZDUd0+30sDeNq6gyRVE1Ql4ojnSWuHOxTeItyhgpDSwacXTuO8gIVRgRa8dxoC4Gd8/xBOEGgNEpHSKkbDSLjcM7gvUVJSaJDWlJxOG6xFKRIIT/q2vtkruvbuI1bFX+QjP+bgHNAd37/7wM/5L1/txDix4GvBX5s/v+B9/6MEOJd8+e982MdWMxrzrUxc6aGnNeHQXlFoiS1FAhTQVXh8xwHZB6ybMZsNsFKS5y0mNYVSuVYYSlko/UeeInNCq6cP88zj3+Iyd6YN7/187EuJon6dIIWylgun3ueSikwFT5UTJRlY7RHcV1SOsfw5iZmlqOcYXh9iPQhrbCL7npk4im3J5gKhjfX+fC5p6kU+EghhERogdcCFyqiNGFYFmSmQukA72uMabj5SinCKEBKgalrlPeNcJsSdA8t8cXv/DLufeBeCDUCwRTPlckBvTRFYdDWzm0eIfaC+9M+xlkeGW4w0wIrJHtVSTne40RrwLKISRCECAInCKUgFBLtGz8BoQUyBO3hQComUrKZZcz6giNvvJdjtk1HxRgtGBxaxmuFVJqlJKUlQ0oc0oGOI8qyoKgqCmvp6JC+CtgzFcZWKCRWheTTMaEMUKUh7KRM85xSS7yzxFEEzuGsRdKYs0sEQikC1cwGxErRDSKWdMyajmgF8ccb4PqkrevbuI1bFZ9Q4BdCHAXeAXwv8K2iSUs/B/iL86f8FPC3aP5AvmR+G+AXgB8RQoiPZUrtgdo3zBYpJaXwiJcFzZRkYksO6pLc1IiyJnZQO8v+3h7D7R1Gwz3ilT79/oCprYmwFFVO6R0uL7j+4gWeeexDbF29QWCg3elw/cZVRtOMcn+TynoOLS5T2pLt3U32fUm50iPpdlBSM66ypoGoAmw5JRAJadpDyogwamGzkunuLrNAoZYXUGGI0Bpk8xmUEkitqDWYAAhh4cQa+XRGNcoQdTNAorUmTVPaCz2cgNHuLtQGqQLSxQF/8eu/mlNnTqJks4NRQlBYQykdQkNd1UgBgdQI35iZRwge6i7hrePx4TYH0mK858CXVO6ASdKj4yULurnYNFLKCiU0iZQI3wjGKSDWAbHShEeOc/3SJcThLp/5li/g7OAY0zxnZArG5YzcWbo6IJEajadWjkhCp91lbGvyfIrRmrjThoMZvuk+YIRjfbxHK2qxtrjGpWLKlq9BSoI5wykIgqYBbBurRu89gnmfQAhiqeipmHYYMRWe3WpGaT/ygM4ne13fxm3cqvhEM/5/CHwn0JnfXwSG3vuXOVA3gCPz20eA6wDeeyOEGM2fv/ux3iDQunHREmC9o8JRAlNTMaoLZrbG1BWhd2AsB9vbrF+6zP71dfIiZzk8y6wylO2mPLG3s8WFCy9x8bnnOdjchkbxGKM8k2LE1fWXSEbbMBvji5Jy15LbnLG0iKOHWD28QqJCrj/2FHaS0ev2qcoCrGdlcYWFwQp7oxFCgMkmrO+sM9zf5MrGJbxwEIco4UA1zBsVBehYYyTISKHDmLUzx7nw+PM4QIchcRyTdNq0uj1UGFLWFcVkwh133cUXvfNLOXz0EIHwCDzGWwyNWmZLR7jKgtSgFRVN3b7GUxuLnxQMcs8gMxQtRaaaenopPOvVlH4QE8iAjvAkSNycDy+lJETTEQKBI9IBHR0ykRHqsOHGtSv84gd+lS/5E59HS7WZ1BX9To9YBSTzJm0JzARcrWeM84qt6ZhxWWK8ZVjmqCjAVQaDIxaCRa9ZTbrUAq7NhohAM9ABpTON5pF1aKmIpJozoOZlPBkgpCQQAqRk31Rcn06Juj3MR4/Nn/R1fRu3cSvi4wZ+IcQXAtve+yeEEG//w3pjIcQ3AN8AsHhoGTXXW3d4tBBMgD1TMTMVha2pTY01NXWek+/sceXci2xfXUeUBmstk60x5ZGMm6MrXLyxzQvnnmeYTVCBRrcS1HyIxzuHcpDXM6pRSURj8zjWhnphgd7hQ4hAk4/GXDn/AtmVDVpJh4Nqt8mm2zFEAqsMOvLMZiPqIkNJT5JqgjggiiMMlsIV5K5ouOlKIpUkjjQy1PhQ0jm6TPfaIsP1LZRQpFGK0prpdEqQpPRWl/n8d3web37rWyAMqISnlBIElM5wUBWMrGGvrMmspTKG0tTIsiKcFci8YOPFi2xfuU52MKIWhsOf+0aSM4cpVDMWVpuSsbVsWui0eiTeE80XhhcCJyWRlGgpCK0hEQFxIhFrnoO9Pa4Nd/ilD7yH1xy/j+OdRRZUgg0dmbTkoeL6ZMS1bMilYsjYVFTGEABtqbCRhkoSoFF4ujLhTHuVpYVDvH94gyqWhEBpJVZJcA6co7aW2lsSpYiVbozijaEWDSsqqCpaSUxvMMBV1UfkaH+y1vXvX9sx6R/moW/jNv5Q8Ilk/G8BvlgI8QVATFML/WGgL4TQ8+zoKLA+f/46cAy4IYTQQI+mGfZ74L3/CeAnAE7ee9aXzqLmfqw5rgn43lALj3Eebz0+r9i8cJmNF15i5+YWyjX0Pqqag/NXePzydVyZI4Ck16HVaWF1w1NXUjY8cCERSLyEWMecPXya02fu5sN717iR77O3scXB81cQRY3NCtpBQrzQQfcSgjgkcIqwjqiqirrOqW1B6XOWlhY4dGSRIA7QcUrtPZGNUVVOWVeoKIRQ4pRHzJucOgo5evYE4+1dAisJlcIHmjqR3Pv6+3n9Z7yepaUBlZDk3rNXl+yVOdfLGXumxFrwXqBqh9gbkV+5wfTiVabDA8J2i+UkZXR9HVFbWt5TYbj+q+/nmHgL6tQhyrn1oZaSXdeUxu5q91EoFoVCeI+ZSyoo2QzLNb+8EBOmnDpynHPTjJ3phF958v24izcIrKB931307jxF3U4Ye0uJoxYOhSAQCu09UbdNXWXYuqAfd4md43Dc5US3j3SONArRsxHGGIq8BhxpHKOFxJYVTGYUozEzAat33UkVBo26KzSN3bTDzFZcPf8CJss+Zev696/trli4XQq6jVsOHzfwe+//F+B/AZhnRt/uvf9LQoh/A3wpDQPiq4D/MH/JL83vPzL/+Xs+Xh1U0GSXJTB1ln1bMnGGes797soAZw1XL1zl/K+/j3I0RakAPW/cucohqoLaW1QSovotSAKIVOOOJZrBH6UUQRjipEKFgk7Y4tCRYxCkyFphLm0zffocYlIQJzEyTQkHbTrHVklXuugkJCDEbc6YXLlJkU+ZZlOCOODQkTVWVpYIQo0XkkmeE4Yp7VabYZlRC0ctDCiIoggrwUrP4PASrUGH6iBnWFf0Dh3hbX/67dxx/AStVovdouTSeI8b0xHj2ZTSGHyW4/ZG+HGOH06Z3tik3B9RlxUSCJRADjNGWuOh0d+3NbUV6Nxz7b+9n2Of80bC08eYaY2lcfxyoebF2YhJ3OJ00GJJagLnGx9jxFz+WOKlppYhq60eL45zwq5iFFjiY4sMDq3ByWNsC0HmSqRszNMjL9GVgbyEumJlZZkISAYpZ/qL5LMJqrYQBuTes729wXS4RUso1DjHFwXTosCUFSYvGDhBHEXsK0903z0MggShFO0goh1GmLqm3N1l+9w5+Ag1/k/Fur6N27hV8T/C4/8u4N1CiO8BngR+cv74TwI/I4S4AOwD7/pEDma9Y+IMY2vIaEw7JILYS1Lj2Lh0g2f+63spNvaaoJ9IsB5nzVylURKECtVrQSfBRRodaqI4IhBzy8JAI6Skko0efO0sl65cZCGdwHBEcXOPIG7Ra/XQgYROhF9oEy51Ea0YogChY1Kv2Th3nmwyQkaa02dPs7SyRLvTQYpGf6cVhQRRTBDHdG3Ffp2zV4zx3hBGDf9cSUGiNcuHVxmLA9L+IoNjR3n2qWc5/8Gnms+nNd5Zbr74IsXuPr42CGPRKiBN2yRRTFgaqD2ibqabvZc4LcBCqCTOOGrXUGMjD3FmuPlrj7DqITpzlDwC5cEVBVMcO8OMYZRzZ6vPCR3TdnNtfT/fMQmFUyEy6aBHGQebO7TPHGVYzih3bpIkimAwIBEatz/Cb+6g9mZQGaypuOu1D3BEJ5xI+4jaEnqJCSI29zYp8pLN/T2ePfchhPKY0lBmZcNwEpIkihorxzSmKEuqWc7Gk09z/DPejA9DjBSMyxxbl1x84gkYj/kDzmb+oa7r27iNWxF/oMDvvX8v8N757UvAGz7Ccwrgy/5Ax8Uzc4aJrSlwzWQmnghFUhp2XrjA+37hl8g3D/Be453EOvDeEWiJ1BrnFboTEi20sZFEBwFREBCoED93nbJKgJCkUQgWpvtjNm9eIXABURSThIrlE2sEUQSy0dhn0CLotIjSmCiMAI+Laiw1USums9hHBwohBUo39XfvJaGKUUqhBSRKkxAhbYDyvtl5iEaB0nlPb7GPnRT4Wca19z2KcxblaHyH05R2r0snt9STovmlhSHOOKhqhI6IdYAIHXVZYa1DSUVIjBKK2hTUvsS+7PcrQHiJyhzXf/W3WS1fS3rvHdgoYGzLV8pq1/MpU2ew7QXuitqETiCMQTlBJD3IABlJ7nrotWxNx9jVHtX6DcrNLSYvXSBd6CMnjurqFmmWU8uQXtrl7N13cXRxDXNjxAcff5RJ6GidPsa17RsM9/YQppnKFVgW2x1cqDBZ0VzYg4A4SdBSIqwjswYpJAcXL1NMMk6++Y2owQCtArZfOM/oxjUSpcg+zgDXJ2td38Zt3Kq4JSZ3PVB6Ry08ubXUQOgEepxx9ann+K1f/s/MdvdQ6EZy1zuss+gwpN1tUxtLURWoJMaHIUHsWWr1OLKwhndwfbyNE+4V2l8wtQx3h4z2RlDUtDoJg6UuMtLUWAolSVotOq0EF4XoKCAJ47n0g8NIQ2fQI+gKer0Bd566h7TVwlKBsMigYSh5IaisaWYJpGQxaYMSFGWB8xYDGGNJ+11GwR6xDumvLjMpZkz3DpC1pZ5l7M9m4D06iuh2OqRJys7mNrZsKJBohTMKLWOEt2gZE4g2UoJxJc43gnCNEFxjnSgkJKVn6zceZ3k0Y/WNr2HY1qB9k2l7wb4peGa8gxhI7tApoZTo+VyBVgqlNKfPnuXFX/tV0iig7UO0CPFoqvGUVKXESYQrSpRwHFtc4a0PvoFaefZdTvfsMdaH17lx/RzG1OjQo7RAOEk36jBodxiORugoxEpL2m4TxzHOmMYDeG4IDzDauMlz/+1XOHHvvfQ6PbbOvYj2Aiv8Hyzfv43beBXglgj8BpjhMN4jraNjPdX+iHOPPsmLjz9JMZ0itQavEMY2ol8qpLvQo9VtMcsy7MwivSAwkqOdFd563xs4tnKUqzs32P7gJptbW1R5Ac7hK4vXGh2FxP02nYUe0WKHAkuNgShAJjFRnCKjmFYrJU0SqrJs5BTqGUkYEErFg/fcy+ljJ3nq+WdIuilBGuJdY2hrrCUMQ5IgoKMkBBqvFLuTfaZljvUOL0CEIcvLy7hpTWtpkbZeYkdpip19XFVha0sQR8hB0LCTpCTt9glUTKhSqrzC144k6qGUREgNIsBZi7DR3GjC4rzB0UwNK6EJECQV7H3wHPm1Lc78ybfiTywz1J5KCKq6Zq/OeG64hegf4pAISBWNDLJvBrPWWh16k5KbT7+ftTMnCWRMLgIEkkIYgpUWtS9ZMIrXvfUN7KmK62bM08N1rsx2mQUGLwJk2bhp4RzKCw6vrKI8zPIcFYcI7em224QOer0urSjiuSuX8CUYVxEoh5mNufT4YzgHoRSkUYTDvyJ4dxu3cRsNbonAX3vLqMzRddP8G63vsHvjJrp2HDl+giDSTEZj6kmBNxbnHUEc0Rn0QAsCFzU16srS8SGfceJB7lg8wd72Lo9/4BE2XrpCPs3AOdrtlLDbxkUaEQUkSUK00MYlTVMWGRDM6/NxnBJHCVEUgjWouQ5MlhXYoqKWgvX1dS5dfpH96ZBDR49yODnGZDrDekccR7SDiDhoGsxaBCAVSX+JcTFjUuQUdeMTmy4usnWwzsH2HuGgw2CwSNJdwkwy6qLASs8wzyjKAhlFdOIWSiZIH2LsmMgwFyhTaK0xzuOsRJESqwihIa8m1G6KwIB3GATeK1RlmD13iQ9fvcHa299I783/b3tvFmtZdt73/b417OlMd6qxq3og2ZRIUaJEESKZOLIkDxrsSIBtCHECxHYc6MUOHCCALScvQZ6clzg24hgWHAR2YMN2HCsWbMuTIlmKLEqiJJKiyG71wOqaq+58pj2sKQ/rVLPJiGTLFllX5PkBt+45+5x7au+71/322t/6vv///cg4K2z23nHIml88e8Dzox1myoIPBNcy1SUHtuDFb/gGbn36NV7/xKd5/sV3cmP3CgfP3OTB6iF3Ht1C7zYcLwd+/JWPsfued/DK4jHz2JFMwAYNRhEweB9QUdhtxhzs7LFYzLFVQZVqYhKasuYd0z10jKzaloPpDu7sON8tAibku7qkhMaUTOsGow0LtZVp27LlrVyIwJ9CZDg55uzhEUd371MlQz0eY5qKoTHMSk96oDjvj4nrHgpDszNF1QU+BQpbkpLGR8e0ntAUDb/x6qf5hY/9PI9PHhOcp6gr9i/vM5lNCGaTItAKXVjKZkQ5GVEpoQ0eRDMqR0xGY0prcSnQxawIKj6wODlhGDxJa159fJdos/uWOzpkNttjOp5wvDzF4UASPuUGtdLmJiMVoK53mFUTFl3LYrXiPLYcHZ7iup56MuK5d73Iiy9+Awf1Dql3nM3POV2c0bkeryOLdoUbPM55YmcYkiX4RIrgfMA7TwKsNqALxFqKYsJyOKNzc2LqEDw6Jlzfk4aAOu+59ZP/ltmth1z7nu+AkcWbREz5buG1FNktJoyNJRSKR92Sxy4wevZq1shZR2598iUOjufs2ob3XLrKw9NXWI4Tlz7yPhY7Y+66E6KJaNHEaEFUNmBXQtKKOhlu7F1iZEpWtsA0NaUEVs5R1yOmpqFzAyF1hJSw1iIKklMkCcimk1clw44Zo5sKW9VPe4hv2XKhuBCBP6w7fvbv/iNc23LjuZvY/T1WsWUQaI0nFQXalujCYCc1MrZUl2Yka8CDsYrgE0oF5vMFP/Pz/4b5ck7nWqIIZlSxt7/P3uV9xAgBiAKovDBcVTW2rIhaUScobUFT11RVhRJhlRQxBFyIxMWas4ePUDFiyxJtCzqbcK7HBc/h0SOmzXNc2dnj+PyYR2cPmRQTyukeYlKum5csq2yxlNrSqAImPnfbDkI46jhv5pw1c6aXx4yLimcOxty8egNts1792WLOfHHKfHHGI11wdHhC2w4EHxlCxA8BkxJKC6IMMRhQhsloxEj2WC0f0Q2nhDTgoyNJ1ugZBWh/47PcunfEpY+8j/1veZ6VUSQUXgnnoQclzKqKIWmO3YLeaJItEHpsFOb3HvHLj34SpTXrZydc+67vZD0bsww9Q8wKpFpkY5AipBBQojEadnTN5dkeRUyYskZCT3C5LFTZbLKSUmIInnFVkySybNf4FMELFk2KicW6Y1UP7F25SbTbGf+WLW/lQgT+5ekZh6+8wc7Vfda+p1/OMYUFEYbBEeYtad3R1DXTK/uknRI1GRGUQjDgfDYjtxYjmi60eOUJCsRadvcP2Lu0h7YGFx0xZmE4lCKkROc9PiZEK/aaht3RCKM1PuUuUZUSVjTOOc7v5Zr5cVVTWMt0PGEtkYTK6ZQ0cP/kIZd3LvPM3g2WfYeQqKyl0AYXQy5HVRYRaBTUdUHch51LB9AYhoVneep49ZU7PLh9iIqOcVNw5fIB165eZme2y5XpHlemuzg/cHZlyYPHh5ydzlkuVpwuzljMz4iDo1MQSiESwUeMFwpbo+pLEBNDt8BqwduWkBIGKCPEecujn/tV7BtvcPAt30h58xqyWxAqxdK1GIR9M+HSzjVWq0dYZdGiKVSWntZNhb6yz3N/5Pdyf8+AT5QpoXXCp4SPWQpa6UDykRRB+8il2S6zssENA8pasBWq9qjQg85pLEmJRhum4xFxkTgfOgTBKEWVCrRStGmgH1WYm1ff9DPesmVL5kIE/hRBkmYA5l2PFkXZewoUbrFmff8Qv2qZXd5ncvMK3UgxkE1Jkutxrid6z7homI5nLIdzCD2gKYqactLgSAQigWxbaIwhAKvlAh89k9kYazW6LhGtGWKk954hBEqtGRtLF3s+e/cBoRugqFCiMEpjU2JUFvQSmLsOv/Scn6zZLy5z/fpN6rEmBsG5iDI2C5+ljcyMykYxo/EIXRja00BdTem8Y90FUvL0q5bHhwvu3T+nqe4ymzXs7U2YTXeZjKcUZcXNa8/xjpsFMSTafs3pySNOjg45tYkbH/xG3HrFv/3XH8XNA6nL3dBNsUdjd+mLBWfzu4Tg8CmRBJBIEw3m0Yqzn/014vQzjJ57hue+4/34uqFMwixUvDi5ht2f8andK5zNe5TA3nTKd/6B72H/27+JX4rHPEhzokloVYACrxQ6gOiEhAAbr92xNVya7VNoy6A8xliKukYkoJzCmAIBxnVDU5YsfUuIgWByc97qdM4QNAezffb39rn5gfdz9hY3sy1btmQuROAHEG0haeIQUJJz46GH/mRFt2gBAVOgrUGn7B4Vosc7xxAclVHUVUNRN2g6klIUdc14Z4YqDKi88EnKCo/aGJwbWKxW4HuaeEBVT1jicX2WMnhi5m2MUCVhfnTKo9v3qRJobaiqBmMKGqUxYjgf1qx8T1WVoCqOHrcsT+4gkihLS1XVFIUlpjVDnFNPLOPZhJ29q3QO2nbAhYjVDlHkksUkjCa7b6Y4ktasIywfnePvHRNCoLSWS/t7XL58hcl4TF1V3Lj2LNf3LvNaPOWk9rzrXc/wA5e/l5/9yV9k+dpjjCisaVCqoComrNdnDOkMIqioUSiSQJREAZhVJL50h9+8f8j7Pvj7+a7v/L0MbSCdt1wZVfzxH/yj/J2/838wKSw//If/Y77/+38AOyr4QHfMj730UX4zzmlVpIiWoDVREsl7lBiiihAiB+WEWTPKUhRaU9qCUgVSsGhlsLbEBk2hNCvXs1z1dH7AkOj7yLDuQFnO+zXv/vaPkEYjVIootoF/y5a3cmECf2EsJQbdJYzzBO/olh3DqkOCAaVY9w4z9ChdIjHh2xZSYjKbMTIlBYYUh9wVWxSMRiMO9g+IKuFDwJh8uKIUiBC7iFYKEyLDw0ckN9COapLWaGOwSlMYQxcMxdrx0ic+RXe+pJ6MKIxlVJTsjcdUTcl5v6Y9c8TCYm1Nag2lnaBSiV/1dCthHdd475kvH/L45A3EJsbTGQfXnmWye0BTXCI0A361JsWAE4sylroeYU1B2ByDNhqkpgCGYaDv1tw/OuV03aOVguAYFYZSEkdFR7t3g9VZ5ANXL/NH/9Pv5aM/9Yt88hd+A5ynVIamKqnLMc4vQLIZTP5SKJUfa4Eyacq+4gPPfAdNexXbL7g6FSaF54Mf+AB+vebabMIPfNd3Y4sSK4nvqA9YPP+t/K+v/RK3CSSdtf2jKrJURMgLvbVRXN3ZpdQGNl7CWidi12cpZisE0fQ+UiCsXMtJu6IPCd8H5qenWG0w2qDKgvGNa8wVNMpsZ/xbtnwBFyLwC0IpNdYXSKuJMdC3LUPXopJQ2HEO2n1EdY7ZbMa4rPBVQzcMGG2IInTrlsE7PBFbFuzt7TEdjWjdgOCyZrvWWab3ifdrUWATyOmawzceEEcNo2uXGO3MSGXJoBWlg4ev3ubey6+hfCLFRFWWHMx2mFUNYgy990yrEYWKKG94fPeIaYzszfaIdAgRoieF7ER1aXKVIQwYXxEXwsr3mMES+hXiOpQS6vGUejKjKCq0ZOPyEAJd31GURb5z0YairPPvRxTdMLBet5wbRWrXnMRzDr75GV5enDCuLd/cHPDBP/ghnBI+8XOfolutCbHA6gqtDDHn3YCEbDTwI8IARBUIwfPw+JyDGxZbNsy7c1RyXK4NH/nIR7g+mVAWBU7neXYZ4Ftm1/jQzg0enbxCJ1kUbkAjOn+6JrFT1uxWDSUaZ/LdXesDK4lgDRpFO0RWPi8Er3zP+dByvlqxOjvHFAWFsoQIN979LkxVUqeIpG2qZ8uWL+RCBH6lNKUaUTEiuETbndN2LaSINiVGV+gUcasV7jBR7uywP6mx9ZjWDbTrlseLcxZ9S1HmPHfTNOztzBiVNbYo6f2A87nEUYj4kPXdc1AwSDuwfu0hp+t1llYeNRSTMXbcUGjD4Wu3sCFRNU3WfVeavekMlHC8nOON5LuDrmV97lg8nuN8z/rsCCRijUUpRUqR4LKsQl2OEFWgg0YPCQJoWxCkAiUUpUVLJPgeXZQUpSV4hSgwRhOCo23XFKakKUd47xn8gDE1FBZEU7hEWg7008DL6znX7IQ9W/LhP/ghdmY7/Nw/+zes1i3JA0lnty+Vu3MFyYEzJgoSQiSw5tc//m+YTqdc2z0gpI7RjmGtAyNjiFpIMVKo7AmQEsyi5kOXb/LTh6/TKgcKFAaVBE9EA7v1iEZZLHpjmelYRU+whqQFnTSVaErn8Z3jfLng6OSE89WKQjSmyn0YSTQ3XnwnWjRG1OZ8bwP/li1v5UIEfq0NWtscHINn7QMpZANyVEkaBs7Wc3xc43xLU9RMVcV0b4emqEje07drlkPHaFxD8hgFznukgFFZUxXVm/IJK9fSr4ZscK4UYd1z+vAx7fkKHRL0He3pik4fg84SzkopirJENwWRyMPHj3jplZcx0wlH7RnKaMp6BEkTOrhy+Xm6eU+kpzBASoQEISRc8JSmZrazR1E1SBL84CmbCjMd431H266IwbFeHKNsQWKE0QUkhShNEo1oTVkJanP3oo2mKAuSGxhchzIwtSPM3DF6puCoW3G/WDIeQW1LPvCd38iVq/v87D/9f3l06zaptUTlgJDr6snlpykKQScEjUmRw89+jJ+Zn/IdH/5uxHV84H3vYGp28JI4XC/YbWqapEghMKSEJXKzGnGzGnPUtniTjeO1aILR1Cj27IhKDCTwJAYJaK2wyTBIPsaJWOrCcOvhCa+8dp/F+hyM5M8wBi+Kmy+8g9neHm2ASlSu6NnG/S1bPo8LEfhJCWIg+oEUQ27d95GYElEC6zin69dYY0mu4OHdI9arjms3r7J7sIOPkb53dN7nvLUo1s7z+PwMFwO7zSRLJxSWwedZ8rrv8SmhIyyOzzl+dJSDp85RQolGtCIL+iaUykEkkiWkF33PS7c+S6pKzKjm2tXrvPOZd3J0/xFHp/e4tHvA7s51lE3QrYltj3MO5xydWuGDp+86rC3zImoacMEjapPCUROGYcjCaglc2zHENle6VBWlVhhb4IPG+4D3Ph9jXWdj8t6DJBIJd95RxRFHtNxanbFflVwTi1OJm++5zh+99kO88uuf4Zd+/ue599lb+K7Ld0IieCH72UKuuw+J2LY8evnj/LPXX+HFd73AjpxTf9P7WO6MGXrP3nTENdMQQ27MEi3sYXlxss/Hl4+JWlCA0poKOLA1E1vmBeXNXZjWmoSGmN3C0DA4+M1X73Hv9iEceUbaEggkSXSDQ9uSd73r3QTJVo25Wzr7MWzZsuVzXIjAH2LAu45eAl3bMQw90aW8sBhzIJ6MpxhtsLagH1Y8uPOQ07NjLl+/RDka07c9EgPDyRyxhtIafPS0rsN2ijLlWWw3DHR9z3roUUDqe87uPyYMPuvcSCLFTZ2lUkACBaIVPkZ8CIjVDAJ9CtB3NFWBKMX9Bw956dc/xXrp2ZlepS7HaITT8zndcoU1JgfTYaAfBrSylLbCWLupEDJ473Mlz2jCqCGrfYZE8B4fHCE4jI2Ma814NqN3icV8TYzpTZexGBVQgOQu1sVyYOYN9yvhcOh45Dp2TEUKGqsio1nB+/+Db+F9H3gvL33qM/zLf/qTnB0dgSJ7GWz8e1OIDG2LbztA6PueT33mjM/efokrv/pRvvWHvo+9Z5+hPH9IufcsIxFUTLgEVhRXTJNNtFwgGUG0ohHFpaqmVhpJIEpjJaHRuJCIWmFRKDSrZc/d37yLqIpgFMrarHfkE9EqxlXD/u4+bS6GIpKojUVvp/xbtnweFyLwSwKrLUQhxISgKHSB0kJhLKBzeWdwDH1L17e42BPEcXx8QtH2+ETW5l+2mPEIszPBiEBKuJTN2/vBsWpb+uAIMeJ7x+nt+7Rnc7SoHOBJsJFvRityljiBks3sO6CVJipF2piet33LK6+/gu89Qz9glOHo7AF+6cAF3NDlAC65h0AbodEVk8mYg/0D9vYvU9W5aenx4UPWqyXBZ4E3W1gkgXcDq9XAulvjh0CpE2o6oSoq+tLgN1o93jlCiuT1zLyYrdqOeNpSXFX0RO7Mz7hka/Yos5+uytl7VWve88H3ce2Fm/zsT/0ML338E2jv8uci9N4RY2R8sItUNc++8DzT3V3KqoLCcDzWPPTnSCvM1mPe0+wwTpokwtI7ln1HjAlREGO+o6uNZbeoKZXaGL6AThqJiiSCKE0JVCox1J7uvbvMXngnB8W3YHREYsAtO9b37tNEwZYVq80CP4ncmLeN+1u2fB4XIvArpWiqHYp6zN5lTep7+m7NulvR9z2D8yABN6xouwU+OXRhiSjWvcelJUopNJoUIp2LNMZSH1yirhpKk5ut1mFgCJ5AoBAFg7B6NEelgNZZxiGKQkgkA2IUKkYEhda5y9dHj1CgtM55cBEkKdwQCBvNmRADq27BpJkyLkdYbeiHlrZbI5I2KZmG6c4uu/uXmUymdN2ax4/v8PDBbc7n5xRFQ1NPqJsCHx1t29Kt1vTrNZIcD0vL9PCQvUvXqUa7IAZRQlFVoBLO5eDqvCc4x/r+GaPLe5zS8ahtubtaMB3pLCWd8uWNlBARZgc7/KE/8oPcvHmDX/jpn0WJotmdcO3Gdaa7U0xV0JMDakoJAaSu6KcVD2OH6k5Ijzri/k3eOb5MDHDLzfn48lGu2df5IpiAHVMz0iUQCJvPCxFSFApVUEtEYkQJ6FFEf8M13CibwTjJ8g+MKqqrO+wlw3kcmBQFhRi6GKhEbev4t2z5At5W4BeRW8ACCIBPKX1QRPaAvw88D9wCfjildCoiQvYu/QFgDfzJlNKvfqnPjykRk6ZpdijqCtVEYvA4P7BcLTg5PyXElt63RAGtNCIQQmAYBtAFe7Mplak4PT1jcb5gbTUq3sAamzXwg6MbBmIE4w2jokBG2eVLlEaMRonkHD4RjAGba8oDgDEY0fRtj07ZJEW02gQ+ebNHAHIVSYiOdT+nFIUxlsbW6F4hKlGWDaasUUVF6x3n917jlZc/yaMH93BDiyjDbHoJ1/YcH/UEiXR9j1YaawwxCJIM3RCJSSjKAsTgnMvZKQVt3+eLodZUzYh23rHrS05Vx0DkjeU5l5sxuwp0jKRNcEwpoRVYq/jWD32Qq8/eZLVaMbiBPgwMYWDYzKZ5Uu8PFFpzvWpYd5G6aXichB8/eYPds4dMtOV+P+f1xQliFKJyaWohimlZbqwxs4lNdlPLvglVVJuei3xWnCiKZpSF7jZ5e9G5sS0SOVSRMjp2KNlLCowlSb44P62xvWXLReS3M+P/7pTS0Vue/yjwUymlvyQiP7p5/heA7wde3Hx9CPjrm+9flETEVlkfPyShdwlrCqZ7O0z3L7E7dKzWJ8R7ni6swA+EEEAlJEZsXTHd2cFExfz4DBkG6AdMFunFxwE3DMR+QAaPGhTaKhanS2KIiFaIzou5Qp75p8KA1qQQcrpfWwpV4dYBN3hsVeQFUK03loSbBcmNRaF3A0fL+/RmyaiaZOcobTGmRInCu57V8oxuWLGcn7DuWrQtUKKwZcPOwVWMsqy7JdYqqjKnp2xVUZQ1k/GMsqqomlFOm+Doh56UEs7nOxuVFKXR6LJiJ4I/C5g9gxfHaRh4dXHKvi25RG58gmwbqUQQDRrh2o1r9MPAnXt3WC9agsQnJw2lcvBVSmhQXFMlaWw4bJc8ksgyetbrY9p2TfQOW2hmRcGaSCTSaMPEllhycH5imSIiGKUZa0uxkY8OKbFEY0qD+v9Z3SYi4ERxEh0PfE9jDTtavzlJeFpje8uWi8i/T6rnh4Dv2jz+W2Trur+w2f63N0bUHxWRHRG5llJ68KU+TJdCNSpJaFJRorVGtFAUlmYyoaw0J+cPmK9LhoUnBpf7jAS00XjvIAhD35IGj0459SNREAmId1gf8SuHOEOfOtpFn3WCRFBGk3SeiYpWUBiSUkQvGKMxSlMmSxeEdr7CWEPRKNJm9h9jtjZMKeW1iuRxQ0tqI8HlzuGyrEhhna0lBcq6oqhKBh8YTQ8Yjw8ggikrJrNdUgRTN5RG4QdH6x26KCjKCpTBubymgChcyK5kIQSU1kymUxIQQyAkqChYH/eM9gpO6QkoHq4W3KlGTJudPBBSwseIigGDyumVBKawXLtyiVW7zCE2pezBS8pSEkbjq4JVcJyslkQiV4uCTsHDQtOqApywX41Ionjcr3FEplVNYw06gBdwMQdwpRR10mig2wjldaR8F6ZSTt3EzQVoE9QTgo0wELnjO1JIvNMYDrT9d6nj/x0d21u2XDTebuBPwL8UkQT8jZTSjwFX3jLgHwJXNo+fAe685WfvbrZ90T+OmCLny3P2Dxyj0QSjc1mfd54QQu64RW3kkktc26GS3wTfgrowuXwPleV+RTOp95iWuxRFzbI7Y36+YHU6Z1buMp3s0g2aWCrKcsTg5qAN0QhaK5I2OYcPJAVJGaKJpJBr02U94GSFJCFVliCfC0QxRlSMpJTwIgzeMytKmvEOKXiW62N879C2QhuLsYmUNMporCkwpqAsC8qqYuh7dNT4BBQV0+kO9XhMioHF6Qlt12GAFCNddG+Wm1amprQFIpLvBiQRUNh55PracNqASGQtgZfmR1wpKkbaIAK9RAwq3wltpspZGK3m6jPXuX3rDSTmiqtcOZO7Y6OCB64lWcUVKRhrxUqEZXCc4+kk0vlAZRUTZXAC06JEiEQRBhL3fUcliptlg5WCO6s5ZyqiiDgRnNHoFDYX/M8v0XyyMBxTxOvEI9dBO8dbjf/S5otf0bG9ZctF5O0G/t+TUronIpeBfyUiL731xZRS2vzhvG1E5EeAHwFQVjP4jrZbo3WTHZSamhCFlCB4x7rrSS5CH0gxoMuCclIx3Zmxv7vHbDSlO1/heocxmoP9fW5eu8mQHI/euM2dV2/RlAXXn73C7v6ElAqKUnP4eI+TU48tanrxKCOojb3hk3yziMr18C6SQkIDse/pzxPKFaiiQCkBZKO4KYBCGUtInhgj+3sHm5p0y1Bm0TlbNNTNhFpbun4ghoQtqtwopjXKJow2uawxKWxREcViraFuRoDgQ2RYrxGt0cVmsTOmrPdvLd57Qsp6ODZF9InnRj3hTljiCPhuyavLU/ZtRb3pdH2Su4fP5dwRmI0nmFHNfL2i0Dpf5FJCYiKEQBJYekehEjWGQoRSFFZrHJGVd9nw3mhG2tDYgpgSSxIP+jUrSRQhcSCWibIwtTw8f4wXRSARyIvPmyLbzx9PSd6c/ccUUWVFq4XPrM9ZRf/UxnZF89v50S1bviq8rcCfUrq3+f5YRH4c+A7g0ZPbXBG5BjzevP0ecPMtP35js+0LP/PHgB8DKJomSTKslmu69jAbeCxz8LPWoJTgBof30PcRpRXltGHv6j6XLx+wO95BfOLwbE63bDFFweVLl9mb7nLr9hs8+OwjFsdLZLdm1S3YSVNGhWZ/1nDt8jMslx1V3RDDGlQgSnpTqCzXxue0R1XWpGbMOvT5TiAl0uDwMYFk8TetNbqoc1AXS9fPWSzPWK7mXL3yPLqs8X1HDB4xhmrUEIHeLzBGUzXZ9StJoiprVGHxPuAGl+vo+44goHRBUaTsA+w9zbigMCW4gaEf0LrLukTeE0MEo6irGrt2XOssR1WHkyya9kp7xpXxDjdMBSKozeJr3Ny5JMklOIUoxvt7HOpEUEIcHBbBB0+nEoXRrEIkhgEliakyFKKolSbEyKByKmlUVrnqylhSgnnynCZPjWbSjJhbzdEwcHtoOQyBcVkRfE/YrAII8IWJ+yyHkZ6MLWpjkSHQE/FP0kJPYWxPZW/r9b7lwvFlA7+IjACVUlpsHv9B4H8AfgL4E8Bf2nz/x5sf+Qngz4rI3yMvfJ1/uRyo0Za62MX7RIw9JRXz4xPc0NM0FdPJmHFVkS5fYeXOYBWZ7e+wd+mAqqpoFysOHzzm3ht3GQaHspaTsxM+/anf4OHDQ5pyRllNWLZLTpbnNIsaM1No3bC/t8eDR8eI1liJ9H5FUlmqQKmc8gDQGKbjHSZU3HErfHK5QuWJWuYTVZgkWFMzqi7RjCZEs+TBvVe5c/91bDWhLMeMJlOIkXYYCCEhRlMUFdaW1M0YiAx+QBuNqSpMihgt9O2arlvRuUhRVIQQ6fqB5B2isrl7Pzi6oacfhrxQqzRVUWHKGm00MQTi0ZL9Z0sGOoxEzpLjk2ePqXevsrvJiSdy2iikRPbfyn0MzXhCO6yYq0A5qShVzsWrBOfdGieQSDwKWRJDIYzIGjqismBapTSVsViliCkxHxxBhKtlTXKel9dHgGYlidoUFAkWKesHKcgX2fxPLiXNv/l8WZCcJpQYmZYlO1phv0jn7ldjbG/ZchF5OzP+K8CPb279DfB3U0r/XER+GfgHIvKngTeAH968/5+Ry91eJZe8/akvuxOmoG4mAJRFBWJxfoF3Lb5zxDJXpmiyQBnWEkNgcXzGSRtYnh6zOJvTd7nrVQ2eX/3kL1GWn+G5Z97DzuwqPkUen92i73ravmfteyqTRdDGVUMQhbaGY98xRP9mhY+IQulAyYhSTdHjCWX9mOjnUAhiLEqrnOLBoEQxqQ/Yqa5TqxFm5Fgtzlgsj1kuFxhVoSqDMgqbNKbMeX2rC5LkRqpAIKqIkkCIPckl3OBzOkgrtDaYosQUFm00rm9hIzzn/IB3jna1IoRIPZqSNDQpoBhIxcDlnYpmVHC6aul0XqR91K/4ze6cdzRTZlIA4FNkiIFCAJVz5Y02NNZy6hwdHvdkbUMEIxojQkqRNiUexsjEFNQbE/tSNIhgMcyKEQph6VrWvmcihnFSRAJX6xEmCvPoaVJgnSKmmSDtinXI9f5WFNbo3HiXEkMM9N7T+Z6YwInnGEWZIKUvOuP/io/tLVsuIl828KeUXgfe/1tsPwZ+32+xPQF/5re1E8YyHh0QQ0BUzqfbsgYSLgWOFi1LpwlpYBgSce1ZdAuWaknXdnjX8yTrm1Iixkjf92hdE2Kkqir2di/jY4dPC7yLeXEwCcPgiT4iWlPbmr1qn/PhlJCyZkwym7xysiRniV4xbq4ytIlYDKgyi6WJ5I5jrUomxZipqWjKBlNqrl57jrOXDhnaJdOb76AoNMF5RITkA71vsx6dNVkQzTtC9NlnVikIOY1CXRGjR+lsTCIpEY3GTCYIQj/0lKXDx9yzgOT6fh8dEWH/6i7lngE90Cq4XzZ81i0IEYYUeXl1zhACB1PLJVOhY0I2nc9+k/5qRLhSjTjxHSLZ1yA88dAlEcNG8loLfUyk6LMlojYciGZQ0BrNuCiJXUvyjrEyNGhsTHQJXPB0MSt3Dm3HeNxQaMtoZDgeWjqB6D2rtqNzQ75ASR4CIqBFMVWWmTHMlM3Nek9pbG/ZchG5EJ27IBhbEXQWG+v7liQGW8+ARFQQpMT5SEwWlQrG5QRrLWfDMV0QYgokcUQV3iyrTCkxDD1d11HaMfs7zzBv75Mr1DUhJFKEuhyRkqFUlp3phMaVPJ4/JpJwBFRSGFWhVYE2mku717G15Xw4IukIWhNlQBRYqRFlCXhat8QkQ11PqKuavl3SjGuU0bQnp6xXK4gRUYKyllJVJElIcIR+IHkPVS4DNUYRQpZuiCmSTEKllJ8bi7UlRV0xnk0RJTifssiZdewcVFy+OkNXiZVu6fEslaJsGjhbZY08Scz9wN1hzS3XZverFNFaE5XgY67eaUTYtQVjydaVUSkiglWaQC6nTGQZjkBiHcPGVAaausx+uaIpQ8Ih2CTsKMueLqgRHEJIES+JVdvRjBp8Sqy9o1dC6z2n3Zo+BhJZyVNEmCpDqTSlCCNTcElbxqIZi+YXtiJtW7Z8Hhci8DvvmK/OKYoCHwODc9iiYrazizGWRbditWjpHYiU1KMd9vev4Fxg0XaMjKXrVxtBs/imHIAxlsLWBB/QRFQySDS4IbJadagQSEmxO9slRb2RLIjYZFFe0YcBpxwmGcpJhdagJD/fLXcZ1Q1D8qxDR5C8MFwXU5q9HSRo3LojecOomXBp/wonR4ccnxwy3TvAhZhn+SIURbaUtMa8qU8TtcaHiOt7tAhRKfpujXM9ttIoedIhHOjbAeV76rpGyGsmTT0BErMrDZPLBmMinXg6DY9S5KXlMSfBU5QlYcgNcSZGWht5uT1nakuuYShFoRP4EIhKCFEolKESYR0DSglWZzvEIUXCRtBNp5Qrskg44JxA79bsasuz1ZhKBAcYpWi0ZiLZICfEkFNsIVLWNYM1nPctD9crWjfgFSBCrQ1WFCZBqTT72lKhGGnNSFtmylCJolZmq865ZcsXcCECf4yBrpvjnN5U8pSMxmPqZkRMgvYe22h0YTEG1qvHrDuPaMu1F74JXMvjh7dZLg8JachVOcpi9QiVCobVmjad4xlouw4nGqV6StEoKTBaCER65xicp115GrOHsYG5P6WhYK/ZRXmDKRKVGJwvWLuByahiVwu9PydJi65LiqbGHa9pkmE822dcT/Cr53n48CG3H7zGQRjQyTLd34fgicFvHMGyREESQaWECjkd5GOAFFDagA8M/UCKYG1BNWo2fsIGrQ1tv2BYt9hqSaMKLpUHrBvFcXQcSs+RX3M8tJynnE5qosZIog0OjMH5gQeSuNMt2aumJKWwPiKAT4lBQZGESgxLAs73jIxFRKFFYVVeG8hloPnCZjZLxX10LFLEbSQY+ugRgUrACZwERyBRo1BKsSZyf3HGKng0MCtLVCJbYpJLRRtRjEzBFKEQTaEUldLUoim1zheurUrbli2fx4UI/Fop9ma7hBjpu44ka4Y+cHw8x4UExS71ZA+tFX3d4MST+oHLV55hZ/8y/dDiU+7qjKcdUSJaDAIsFqd0AmVZUo8mFHZMlzpSX1BPdpjUU6L3LFdLTJWoSVR1g4+JYBJHqwabwIohkTBKUdgaawRTBExZ5oqgYod6UtBL4PDshBAcUZcYJZjSMLt8iXrU8PD+Lc7aI65efZ6D+gArY4a+y2WZCFoZtIJAxJisSZMkd88qyf4APkSksHigsIaqLNHKMPQ9bduyXh2jzRL29gjTZ/msXvJ6nLPwnj4EYorEELKgXdtSViVm07cQvadPifv9imeqhj2fu2KzNM9GH0dyaacRoQ2RVfA0YrLUBbkTeoiRJCovjqesxDmESC+BXz99zI16yk4i++fGgEsJFwPWGAZRnATPcbtCUmJP2VwaClRKUyqNjVBpnWf+CFrkzQuC2fReIDCorL+0ZcuWz3EhAr+IMB7VlEXB6dkpJ6f3mZ93dM5jbcVkR6Cq8SFXcDT1jPGsZFTWRDegUeyMdxiWU9bzCmsNTTmj1mPqomQ2HrO/f4l6NMWHxMn8NJcm2oZR2TAYxxACdZFz+GEI9J3Hp8iobEjB4wdPP7RYSoJ2CAqjEmloSUSSt3iBXgZSCBw8ex2bLGnt6V2L0orRdMz56RFtDCQdiUmjTEFZ5YavpBXaWpCAfdKKyqY/wFiUCCNRuXTTe87OzmjXEMdjiqKkXa8ZhoHCFFlpNAbu330M755SaEutNKQeL5GoNEFtmq8GR2ksvXewEWx7sF5yuxlT6JpuI4cwEosSspMYKadalMLFSB/D5xq/lODJjXe2KDaCahFJkS5EBhH8es4zpmSqBJ8CKSpqbVBKcdp1rEKg0pYpQqM0VikqUTSiqZV+8/825IauQvJdQgIciVVwLPzAKkXWMTydgb1lywXlQgT+lALr1QkxViA9WiJaIpXRpOjpz+/jugWiC7RSlLZGx8RqfkSSiELhuyX4wP7uFQ52Dyj0mBQMVVUwbibU1YTpZIfBOwbvCD7nkpfLOcuuIyLsjKeUdU0b5/RpQCPUuqJ1LdH32T4xBPp+jajsLeuGgRR7rLFUcYqvBKWF8d6Mrh1IIZF8QIlQT0fQK5JRFKbBmhplDTFEoiiUMsQIPgX6jftWWRYU2mwcbwVblETvSYNHPWlM2ixka20YjcZoPaIfPLEPHL/+kG59zviFXey0winHIHkBVhuD2VRBIYI1liF4JAR6cXz29Jgrl2+Ad+yIZUSummqjp9uUSBaiiCngU0QhaMlCdUESPiUkBozOyR4dQWIkxUgrgfuhY5UUExQT0YysZdHnRq0dU2CVpkKoElitqZVhRL4AsPFCUCLojVLoWiJL71hEz3n0nBM5J9ClbeDfsuWtXIjAH73j6MFtxCgSEe96YgQthuATbuhRrscUNaaoSKGjHQRT5tyyHwZUgmevPUvTFEwne3SdZ+g9IUQW6w5b9TSTmDuA+1z508VsLBJSoKpqqqrCGMtZ27NczFHaYAtLaTfrBZMJKcY8k93IMLeiiNEgWjBlyc50wny15t6nfgOlhb3xNUw9w8dIKIEiQTJ5lmoEbQ2egFgDksXefNB0TnC+pfMd0mUJaq01ZVVhlUEVhsnODiltGs02OXWji1zhlByd85hkKO6ucY/X3PjmZ7lxc5/Hcs7jNLCKAxI8a+9IXQBj0doSY0BS4Mx3vN4uOLA1kYhNgTLBwvesgsu2ispiROEI2Zxd5Rm4UYpeZ+G4QjYy1kqIEUIKKCKrINhk2bGWsa1xzlMrSy2CTopGG4oElei8iKw0FsECqLwuAGASrGPgbuxoY+BRCrTeMx96zo+O6JerpzOwt2y5oFyMwJ8S69Uim6AoRXA5IBuT89opeJLrwK0wscHrAmNK0ImkctNQM50w2xmztztDdEkzBNp1T7tucWFN2pileJdyg1G7xgdPXdVUo4bxZIzRhmFwLLseFyN+WKE6KCtLVVU0TbORXo4YbdBasW5bhq4FYDyecrB/mXG95uzwEeu+Zb/cx4xBjMYHl8tMCQzDiuBzr4HVFVIrBjcQwkBQgZ6WB6d3WXanuNiDZN9fay3jaszuaI/d8T61bkgJnO83s36NTlnwLYZE1/aIUlhfcPaJu7xTPc/Vq5c5GTlW6wUr5XjNnzMkl7uFRYMxdCHiYuD+cg4TxXmEx0pxtSwJwdGazaxb5a5clQIkSErhQmAgkbSGmPCR7FamNFrnXH5P7ritUDxXz9AukZRC6WycUqAoRVFsPHMF3rRQ9AIKqCMMAocqca8fuB0cx37guFsznJ/CnQesX30D+uFpDe0tWy4kFyLwQ0KUUNqSqhpBSnRdRyJSFJboB/p2Tb9ekXyLsSWiCmKYYGwFSujbwFxg1XaMRpO8IBklpxsk4XzP2flxTtUMHc4PQE7LaK0JPtD3HQnF3qWryCVYzU+Ynx7l1EUIefEzburUlUaJxhYlRmmMMZR1TYxQVyPe+dy7OTx6xMnxUXbyKktSCogoonfcvfMqO+Uuz958LyF4zs4ecnJ6yHx5Rju0nM7PWPQLVKmgzLX0Sil01Kz8kuWwpHMtlyeXGRVZ5sG5gRh1vpjVM8qiZ7VaEb3HuETSipd/8wFlO2Wle64VJR9+8d3sP7zNrWHBUTdnuQmSI1viEnglnETHpKzphp62degUediv82KuCIW1WYLBmLxIrA0hZmUdrfKM3IjKgVspJAUiiYNkeN/0CgcpW2vKE1N3wKpcjfMkh49kWYiexGKTaopKcZ4i91zH7XZJ7xztcsnRr36ScHpE3TtszONry5Ytn+NCBP4YI871GFPhB09djUgF9EObA27S+JQVY7xzeD9gTElZFGhb4YaBwTken54ixjIejTFaE0NW0xQVWbVnWGs3/2FW4BRRbwqRhRhJzmWHrmpEvhhtGnxTxBizSakkvA8ggRBzkKyKirqqEKNZr1tijOiiYv/ydfzhfT5753VMUdH2HaI0ich8ccJnXv4V2n7FycljHj+6jQ99FokLHud8loOIJUlqVJErd1RSJITWtTw6eUC3nHPzyvNMR/vEGGnXayQJjbJYUzAeK7wfCN5jtGF93nHSzlHPzDgdG27decBkiLxXRizKkkd+yeN2SR/ywuzgPathoCkqGltwtlqyjgPtRk45bJqrtPdIShitscYSBVBCKRpbFDTKoFOiSgV1DKgQ+fZmh2elzHl6lauHnlReqo3HsWyM05+osw0pcRY9j5Ln9tBxNLT4rmOshCYJjVEsjo+R5QplTL5gbK0Xt2z5PC5E4M+38RD6NUk5NApbGFRZ0vZrXIRqNKEqL0NI9OtTet/hoif1LbassVVN02iiMmixOLckDivwAWU1Pni8M8SYKE2BtRZli9w3UFQ0oxEhRJbLBevjM7x3OO/wMaAkz+iVZKVQCg9k83cRoXeKpH3uuA2O0lrKosHair39SwQGHp6csI6OoEDbgqrWnJ8e8anzn2XwQ67dV5+TQo4RJCbEBWLvEGVyIEOQCAlPHwaO3JpqOWFv7wZTM6axOe0UQ0RJorAKa2q8j0QCxaCxi8Bw65z2UuIz5y1NZTiYTKicplr2FKszbFHgqoJib4Yus7iwNYa1MbSLzWyfXMWjYgKJeMAlaMNG0TMkVsC572m0zaWWxnCA5l2jHW4Uo5yuIREg/25UbspSUXKHMmThNSV0wXOcPHf8wMtuyWm7oHGO58uaVjTLpFCHx6RVi1YWQkQV2etgy5Ytn+NiBP6Nf23cCGpFiYhRGApKEuOyZjTbZ/fyTQYHZ4/vcPj4DVzweLdENIyLCdNqivOC69ZZ218iZVUSSSyWCwCstVRlSVk1iLYoY3LNvXcUhUUrGIYOay3W1uiNv2tRFBuN+pyS8sG9mfqJ0eG6iPMOSKg6oAV8hKHtaMoJl/ZL1osl/fKM0lQ0puBs2ePcEmTT5Ro+l5LIyj95sTQ5h2hDVAqKJ/X0WUcnxMCj4/uM6x2u797EFgUphSyxoFS2c0RBGnAuUeiKncrSB0d7f83Ct3RWc8R9jlePuf6uS0xLTbdoSYsVqhtQPnI8eCbTKYUxSIyEGFFBSFrhNxU2ogRSJMWUzWlEcCSCD7TBYwHTwaVizLPThjJmLf6T6GhDIMVsxzg1BbU2uJTonMNH6GNgsZnpv7I6ZWjXvCspdkYzTgmcS6JAc3z7LjomdJEb4bwR/BcXaduy5euSCxH4U0r4mKirvGjr8bgYSDGhTEXdTFGmAl1Qj8aEmOi8o1uegPNEnzg9OiLGY6wts8aNcihrUNowDB3DMGQvV2Nw3pEwjJodOteyXh8TvaNpRgQ3ZE9c79/0lDXGUpYlKQqCRlkBSXjv82KvQJJITAOiEkFHvA5IYbHBENcJHbKPsDUljZpR+5LWLIi+J+LeLMkE3vQCeGJkrkNCOf+mAbyIkBDCplqmC2tu3X8ZI4aDyWWs0mijEAupiLjkstHN0JEimwVgwbQOteroQmAdVjRXCibTES50NI3Nnx0j6+M5bghUpmC2v49Kp7izFb3AelyxspIv3tYQRYgJTErZ+UoBKaGjQyWYiOaF/T3O/YBLQkviKA44rfFWcRg9JnhslHzH5T1aFA2KtXccnh5Rh8D7p1OMLfjs0HHPZr+E8Trgjk6QmPKF2YC3uadhy5Ytn+NCBH5EKOqaZjzFmoJ11xJiyKkVbfFRwHnOTg6px1mJc/fgCnE2QyWBYeD48CHnp4c411GXDZPZBLEFfZdFzcqyAlK25osRW1SU1Yhu1dKuVyTv8yKoMVRViQ+BECJKFErlBWBTFnRtz3rVEVKgsBZjDcEIQTmKqUbZQGEUSCAKaK2obMGwTBRDhVUjdiZXOCgOmMqI+w9fY94e48KAC54YAyR50whFYqSwJUobQnqyuJxn81apTcOVow0LDk8fsT+9RFlWjKYV1V5BqrJUsRtKhn5Mu+5ztc98jfIB6QNduySagevvfBavAloshbaYBDZG6hgYTpYMvWdvtkcz3ePu7YcUyxWGSFkVDFajRzXFbAplSW/yncAAdMmTSCSByXRCHwLnPnEw2WXPGHZSYBEcj7s1p96zCJ5IQKVEmYRRjCQXqEPgvaMZpdGkwvBp1/JAJ3RSqJRofGQU4CzFfPdoLNTldml3y5Yv4EIEfq0LxrNr2KJEKYVxQvAe5wLetRtbwQKlNNEnTFEymU4I3mG0oCKEAF07ILqkbMY0syuMmob1/IjkEkZbhjigrWY0nVGNG4xVOJ+tEefzOTFGxuNx7npN5FLSpHAu0LYtVZUYhpbV4hxrC1RVEI3HVwGpI1ENDMmBSmgUSCQ1EAoFWmN9hV031E3DuJow0WPqyQ637n6GxeIIhhW9WxM38sJCxErB5YNnSTpxunxMHweIoLRBbdyyAhqCkLUxHVImdm9OcGPPkDwFFoOlStDEBolCGa/hj1sevfGIO3fuoncVeqRxPlCqEqs0SilUjOgQKAgs24HloyNmVy4x3Z1xvlhS9gN+vcIvl0yrGbvTnvPlmuOzE4IR7P6Y0f6E0TMHxLpmahu8KtiZ7JC0ZrnpsJXg2VeGUak5CwNHrqPre8oIU10wKiqSEpYxMFfCObBCoZXJlowJDJq9yYzUrujKxLzS+MpurDC3bNnyhAsR+JUoCIp+7dBK4QaHcy4rRhrD0PVo3dE0Uwqb1SuVMqy7FW101GXFZGePSJbpHY2mlGWNkOi6FovCljXny3OU0mhdoZRi8B2F1oQyz/A7N+AXcwbnqKqKqqgJMdEPPc47dpVi8I7lYsXulQY/EvqyI5YetCeGgRhAUqQwGtH5/Z41sTTokaKoCnarMaOqxlvYmV7lhV1hNT/l0Z3bHD68TfADIUZKO+H5597Di+96P4t2ycc//VF6t0Bpj9LZ5lG0QqUCQ672WYSOZkdYjgZc7FEqV7VoJchGBlki2JTYuz7j+vUD9m7scN7PWca8GO4l9xtUVZWtJ0UQrSncwOnjQ6aX9pldu8rxo0N8CLTnS/abKdeaPdIiMn+w5HmpOTp/wOLOG+w9f5V9WxCem/LceJfnijEFlsFlQ5whBUzI6wZrP3DetyxCzxTFrGpItmAlQh8Dpypy4h2rGPFaYUJCYsQA/WrJ4vwc5x1DabCTEaqpUGq7uLtly1t5W4FfRHaAvwm8j1xY918ALwN/H3geuAX8cErpVPIK6F8hOxWtgT+ZUvrVL/X5IXjOT09IJOq6xujs+frERzUNni4tN+WUDqVbhqVwdnKUTViUot6kQ/b29lGqJPQti/kpJ6enFFrTjGqa0QxlNBHLo6MjUugZFSXGWmxZ4r2nXa2ytLExpCJlMxZg8B4fc/05WuNSZPAdCxYIHmtyR6kEhQ8eLVnSoR96fGjxukYqjZiIaKFTjk4HdK2ZzS5R1WNMbFBec3J8j8F1lKagtjW+dxS2Zmd6GXfSEQeXDeFFEWWTjrKKoQwMu5B2FT71NLYiEYhENJJr42N2C1MJjE641MI4l7RWFFQ2d0NnUbWc+sJkY3UTNc45zg+PGV0+oJjO6LuBaTnimdk+ZW+4dfseKWpmOxOIHcoHXrj5LM7WVFeu0RvD/eA48kuW/ZrkhyzJMABnCx698jr3Htzj2773e7i8u4eB7NcbE1FpVAIlgUJlgbeOSLcp2VyuV7x+6xbj3RGxrCmnE+LoS6d6vtJje8uWi8jbnfH/FeCfp5T+mIgUQAP8t8BPpZT+koj8KPCjwF8Avh94cfP1IeCvb75/UULwID1VWQEDIZiNkUokRRhcRNxA7zpOz47QaJL3uZwyRaKClbKMxjPEClpKFiePWM5PGQLoZootako7xpaWSMFqdUK7OKNFoUyBKQuU1sSUaFcr3DBAUozHE8bTKYMb8DFhypLJ3i5RhPX5Gmcc3niMjhQqUWIobAFJNkbnHhAoLcpYTKFZ0hJHI7wOlAbiIhAHy87ODZp6QvNwzMnxfYiBB/df5fj4MfXuAXVdMa3HLLrT7DugQjZ910IoEpPn9qhujKmnBQd2ihVNJz09AzppSqVQJHRUWJ3VTOftivmwAJOodUnKknMMIaLIXdXpzYVnodCGs8MjzHTCaDJh9eiQS7NdxqrkU5/+DH1r2Jnuc/XSJcpWONi5zuVnn2fv3e/kLoHHJ6fc855lu2R+foacniOPjhkez1kfHqF7x3gyorx3hBrP8CabtZuUSCFQohipgi5FHHCM0EdIki9UdjZhKBR2XNNLNuJ5mmN7y5aLyNsxW58B3wn8SYCU0gAMIvJDwHdt3va3gJ8h/3H8EPC3NzZ1HxWRHRG59qVMqUXADUOeXacEEbq+J8W8KKttQVEU9EPP8nSBbAxMqjLP1lMSnPf0XYc6PUOpyHo1JyZPU1fUTUHV1IwnU+rxBJcSo65hOWo4PXrM+dkxZVEwHk0YVzWVVvT9gPPZsrAppohyhJgQnQ3QXddRDUJhR3khcQikoSN6x5lf5BLRFGhGNcVsB2ssdapZmJpF0WHGA5aCeK4IJxF8oGVFqxfU1ydcv/oChIDvetzKsTq/R9d2+YKXPGkjZZBUQpeKay88y7UXX2BvNOaZqqEWhSeyGgJJaSplskhaShTGUongVeRkvsiva00iF+H44AmS9YFydRGkmIhKsg1j9JzPz9CzMWXdsKNH3H3tNvfv3eXa5XdQKMuQIrI75b0ffj+Xn32GO6dHPH58j+PHDxkePGb16Ih2viS2A2HdoUjceOYaL37bC+xNJjAoTu+sYW8GIyhMzD7IKTAShUmKRYwYFEXSSPAc3nqdoYiYq3vE3QYv2Wjni1X1fDXG9pYtF5G3M+N/ATgE/ncReT/wK8CfA668ZcA/JBtXAzwD3HnLz9/dbPsSfxz5L7Pve7z3EHPQASiKCAjOBZTSGJ31e6y1NE2TG6iGAaM1dd1gTO7YtaagKmtsYemGntOTI5qmYTJqQBcslCEOkXU50JUDiYSLGoWhqQt2J5aQEuIdREdTlwxDz9D1hJRIITJ0AylorBS5VLOqkRRIQfDOs1ieo2PJ9Z1n6Ayc+JZLlyyqEYwY4twTzyLBe5bDKSftQ1Ll2Z2NGdfjbBKeJrmZae15fPshp/cOKYZESo4okel4yke+/YO8+5u/mcFqChQzlWv3lwpWKbDuBpIt2DUF9UZWIQEr71j2LUlnS0Mlkmf45JxHSCm7YW1OUSC/YJKwOl+w89yzTPcvsb57yCc++QkKKWiHFsKCSbPPu7/7w4TK8Cu/+jEenj2iuXIFd/+Qh7/2afADSKIalYQ6UeuK93/TeyiMoR8G1ssOxy737vVMdxzXrxtsbVBVSZDEmXfccz1z31MITID1tMS87x0EI7kj8Inx1hfP9XwVxvaWLRePtxP4DfAB4L9KKf2iiPwV8q3vm6SUkoj8tqrmRORHgB8BsEWJtZZhGPDeI0lyZ61SaG2wpthI8CrGlyYooxGRNyUY9HqJVoa6rggh4vtEUVQYrfEh4PoO7xzn5yeMJ2OsbfCDo+89ytTsHFzfrB8AEaLknLJWuZ5/uTylClkMLUXQxqILAyESNUgQjFY0ZUVRGLQuCSEixrKzO+O5517g4fyU81PPqJjhXIefD7SHK5SHnp5Hq3t0ak5TjYmVhkIjPmE2ypSUhmeb59jZmXLvtVush4FmNOYHv+8P8b53vwhKs/RZpdSiiCI5INoCaw1FzPr5VhSSwCs4Xi3xIvTe40NAK/25MlLJujohxs3FIK93sHEHC8sOWsf44IBf+egvs+yW7Df7DMpx/ZtucOk7v5VXH97i6DdeYnn7PvFSw7suHdCtFiQV0JdGjKdjqqZARdihoCwNwUc+89orvHrrHmb6WaSagSx4Y2LYe+YqdneKbips09AO53jjaHbHRO+I05J1H1Aqq4MKgk5p03j3dMZ27nnesuVi8XYC/13gbkrpFzfP/yH5j+PRk9tcEbkGPN68fg+4+Zafv7HZ9nmklH4M+DGA0XSWjDE4l6tJgs8phtFoRFXlLlvIgX46nRKFfIEQwVqD0VlDJ8ZI23Z0q/VmkdhSWENRGHrvWc7n3Ll9i/FkSkiKddcTBWY7B8xmO3Rtz3KxgjhgNBiVGLoVzg+oQbI+kK1QZUX0HiWaJInKaKyGGAfaYUBUjzEWWyuictw/us/DsxMGH0gJ2kWLHgTrDfPhnPN4Rqdb9MiiiprOC65dMEJx9fJllus1dw8fUZclfhQJM0UcLL/ne38/73nP+zk/PMRUFltXRCJeCUmgiIkrqqBNAaUStdJoJaQkRBInywXDZsE6p3DCxswkZQmNXH2fm+nIQmtW5Q7rSsA/OGJRllz+jz7MUFtsp3n2m97LzW97L5/42C9w+2O/RFysCEmxW13PXby1YvbcAd4GlFZYYyiNpbQVZ+s5v/6JT3P/5JRu1bE+/wUUigLNodJc3f9eumPh9PYhI2u4/cqvUz6/y8MrDRhQ0TEzimQ1brMQLOFLdu1+xcf2VPa2bQRbLhzypFv0S75J5OeA/zKl9LKI/PfAaPPS8VsWwPZSSn9eRP4Q8GfJlQ8fAv5qSuk7vsznL8iVFL/bOQCOnvZO/A7wtXYcz6WULv1Wb9iO7bfN19qY+N3Olx3bX4q3G/i/lVzyVgCvA3+KnEH9B8CzwBvkkreTTcnb/wJ8H7nk7U+llD72ZT7/YymlD/52d/6isT2Oi8XbOY7t2H57bI/jYvHvexxvq5wzpfRx4Lf6T37fb/HeBPyZf9cd2rLlq8l2bG/5ekR9+bds2bJly5avJS5K4P+xp70Dv0Nsj+NicRGO4yLsw+8E2+O4WPx7HcfbyvFv2bJly5avHS7KjH/Lli1btnyVeOqBX0S+T0ReFpFXN6VzFxYRuSkiPy0inxaR3xCRP7fZvici/0pEXtl8391sFxH5q5tj+6SIfODpHsHnEBEtIr8mIv9k8/wFEfnFzb7+/Y1uDSJSbp6/unn9+ae641/ARjbhH4rISyLyGRH5yEU4H9tx/fT4WhjbX+lx/VQDv4ho4K+Rxa/eC/xxEXnv09ynL4MH/puU0nuBDwN/ZrO/P0oW9XoR+Ck+1/35VlGvHyGLel0U/hzwmbc8/x+Bv5xSehdwCvzpzfY/DZxutv/lzfsuEk9E1r4ReD/5mJ7q+diO66fO18LY/sqO6/QW9cWv9hfwEeBfvOX5XwT+4tPcp9/m/v9j4A+QG3SubbZdA17ePP4bwB9/y/vffN9T3u8bm4HzPcA/IcvxHAHmC88L8C+Aj2wem8375Gkfw2Z/ZsBnv3B/nvb52I7rp7rvv+vH9ldjXD/tVM8XE7268GxuC78N+EV++6JeT5v/GfjzwBM9g33gLKXkN8/fup9vHsPm9fPN+y8CbxVZ+zUR+ZsiMuLpn4+Let6/LL/LxzV8bYztr/i4ftqB/3clIjIG/i/gv04pzd/6WsqX3AtbKiUifxh4nFL6lae9L78DPBFZ++sppW8DVvwWImtc4PNxkfjdPK7ha2psf8XH9dMO/G9L9OoiISKW/Mfxd1JK/2iz+ZFkMS/k30HU66vMfwj8oIjcAv4e+Zb4rwA7IvKkk/ut+/nmMWxenwHHX80d/hL8ViJrH+Dpn4+LeN6/JF8D4xq+dsb2V3xcP+3A/8vAi5tV9wL4T4CfeMr79EUREQH+N+AzKaX/6S0v/QTwJzaP/wQ5R/pk+3++WXX/MHCenrJpR0rpL6aUbqSUnif/vv+flNJ/Bvw08Mc2b/vCY3hybH9s8/4LMfNLKT0E7ojIN2w2/T7g0zz987Ed10+Br5Wx/VUZ1xdgIeMHgN8EXgP+u6e9P19mX38P+fbqk8DHN18/QM4L/hTwCvCvyWqOkBeW/trm2H4d+ODTPoYvOJ7vAv7J5vE7gF8CXgX+T6DcbK82br5qlgAAAIJJREFUz1/dvP6Op73fX3AM3wp8bHNO/m9g9yKcj+24furH9Lt6bH+lx/W2c3fLli1bvs542qmeLVu2bNnyVWYb+Lds2bLl64xt4N+yZcuWrzO2gX/Lli1bvs7YBv4tW7Zs+TpjG/i3bNmy5euMbeDfsmXLlq8ztoF/y5YtW77O+P8A2ZvRs7XIT4MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(121)\n",
    "plt.imshow(img)\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.imshow(mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6eceae2e-7325-42ff-8380-35d74338c821",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import glob\n",
    "import cv2\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import os, sys, glob, argparse\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tqdm import tqdm\n",
    "\n",
    "import cv2\n",
    "from PIL import Image\n",
    "from sklearn.model_selection import train_test_split, StratifiedKFold, KFold\n",
    "\n",
    "import torch\n",
    "torch.manual_seed(0)\n",
    "torch.backends.cudnn.deterministic = False\n",
    "torch.backends.cudnn.benchmark = True\n",
    "\n",
    "import torchvision.models as models\n",
    "import torchvision.transforms as transforms\n",
    "import torchvision.datasets as datasets\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "from torch.autograd import Variable\n",
    "from torch.utils.data.dataset import Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "84d10292-e5b8-44ee-be01-f3659340a0aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import segmentation_models_pytorch as smp\n",
    "\n",
    "model = smp.Unet(\n",
    "    encoder_name=\"resnet18\",        # choose encoder, e.g. mobilenet_v2 or efficientnet-b7\n",
    "    encoder_weights=\"imagenet\",     # use `imagenet` pre-trained weights for encoder initialization\n",
    "    in_channels=3,                  # model input channels (1 for gray-scale images, 3 for RGB, etc.)\n",
    "    classes=1,                      # model output channels (number of classes in your dataset)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "908854c0-3b73-46bb-b125-c3f1675a389b",
   "metadata": {},
   "outputs": [],
   "source": [
    "class XunFeiDataset(Dataset):\n",
    "    def __init__(self, img_path, json_path, transform=None):\n",
    "        self.img_path = img_path\n",
    "        self.json_path = json_path\n",
    "        if transform is not None:\n",
    "            self.transform = transform\n",
    "        else:\n",
    "            self.transform = None\n",
    "\n",
    "    def __getitem__(self, index):\n",
    "        img = cv2.imread(self.img_path[index])\n",
    "        mask = np.zeros((img.shape[0], img.shape[1]))\n",
    "        for points in json.load(open(self.json_path[index]))['shapes']:\n",
    "            pts = np.array(points['points']).astype(np.int32)\n",
    "            pts = pts.reshape((-1,1,2))\n",
    "            mask = cv2.fillPoly(mask,[pts],True, 1)\n",
    "        if self.transform is not None:\n",
    "            result = self.transform(image = img, mask=mask)\n",
    "            img = result['image']\n",
    "            mask = result['mask']\n",
    "        img = img.transpose([2,0,1])\n",
    "        return img, torch.from_numpy(mask).long()\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.img_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9070da98-c263-4a50-a37f-528dcf5cac66",
   "metadata": {},
   "outputs": [],
   "source": [
    "import albumentations as A\n",
    "\n",
    "train_dataset = XunFeiDataset(\n",
    "    train_jpg[:-20], train_json[:-20],\n",
    "    A.Compose([\n",
    "    A.RandomRotate90(),\n",
    "    A.HorizontalFlip(p=0.5),\n",
    "    A.RandomContrast(p=0.5),\n",
    "    A.RandomBrightnessContrast(p=0.5),\n",
    "    A.Blur(p=0.5),\n",
    "    A.ChannelShuffle(p=0.5),\n",
    "    A.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225,))\n",
    "]))\n",
    "\n",
    "train_loader = torch.utils.data.DataLoader(\n",
    "    train_dataset, batch_size=5, shuffle=True, num_workers=1, pin_memory=False\n",
    ")\n",
    "\n",
    "val_dataset = XunFeiDataset(\n",
    "    train_jpg[-20:], train_json[-20:],\n",
    "    A.Compose([\n",
    "    A.RandomRotate90(),\n",
    "    A.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225,))\n",
    "]))\n",
    "\n",
    "val_loader = torch.utils.data.DataLoader(\n",
    "    val_dataset, batch_size=5, shuffle=True, num_workers=1, pin_memory=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "689bdac7-2142-4cd5-a604-47c9d2785411",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = model.to('cuda')\n",
    "# criterion = nn.CrossEntropyLoss().cuda()\n",
    "criterion = nn.BCEWithLogitsLoss()\n",
    "\n",
    "optimizer = torch.optim.Adam(model.parameters(), 0.003)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "51fc1bac-3182-4f6a-b765-66da512cdec4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(train_loader, model, criterion, optimizer):\n",
    "    model.train()\n",
    "    train_loss = 0.0\n",
    "    for i, (input, target) in enumerate(train_loader):\n",
    "        input = input.cuda(non_blocking=True)\n",
    "        target = target.cuda(non_blocking=True)\n",
    "\n",
    "        # compute output\n",
    "        output = model(input)\n",
    "        loss = criterion(output[:, 0, :, :], target.float())\n",
    "\n",
    "        # compute gradient and do SGD step\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        \n",
    "        if i % 20 == 0:\n",
    "            print('Train loss', loss.item(), ((output[:, 0, :, :] > 0) * target).sum() / target.sum())\n",
    "            \n",
    "        train_loss += loss.item()\n",
    "    \n",
    "    return train_loss/len(train_loader)\n",
    "\n",
    "def validate(val_loader, model, criterion):\n",
    "    model.eval()\n",
    "    \n",
    "    val_loss = 0.0\n",
    "    val_iou = 0\n",
    "    with torch.no_grad():\n",
    "        for i, (input, target) in enumerate(val_loader):\n",
    "            input = input.cuda()\n",
    "            target = target.cuda()\n",
    "\n",
    "            # compute output\n",
    "            output = model(input)\n",
    "            loss = criterion(output[:, 0, :, :], target.float())\n",
    "            val_loss += loss.item()\n",
    "            \n",
    "            val_iou += ((output[:, 0, :, :] > 0) * target).sum() / target.sum()\n",
    "    \n",
    "    output = output.data.cpu().numpy()\n",
    "    target = target.data.cpu().numpy()\n",
    "    \n",
    "    plt.figure()\n",
    "    plt.subplot(121)\n",
    "    plt.imshow((output[0][0] > 0).astype(int) * 128)\n",
    "    plt.xticks([]); plt.yticks([])\n",
    "\n",
    "    plt.subplot(122)\n",
    "    plt.imshow((target[0]).astype(int) * 128)\n",
    "    plt.xticks([]); plt.yticks([])\n",
    "    plt.show()\n",
    "    \n",
    "    return val_loss / len(val_loader), val_iou / len(val_loader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "dc695aa5-fbea-4a05-a149-44d1de8d5f09",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train loss 0.12737709283828735 tensor(0.3779, device='cuda:0')\n",
      "Train loss 0.09867123514413834 tensor(0.1891, device='cuda:0')\n",
      "Train loss 0.07894774526357651 tensor(0.4333, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.12137421765705435 0.24252403154969215 tensor(0.9394, device='cuda:0')\n",
      "Train loss 0.16649551689624786 tensor(0.2903, device='cuda:0')\n",
      "Train loss 0.08851674199104309 tensor(0.3386, device='cuda:0')\n",
      "Train loss 0.06371580064296722 tensor(0.3482, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.10032715039645754 0.09110796637833118 tensor(0.1972, device='cuda:0')\n",
      "Train loss 0.07117227464914322 tensor(0.3045, device='cuda:0')\n",
      "Train loss 0.07256537675857544 tensor(0.5475, device='cuda:0')\n",
      "Train loss 0.11565446853637695 tensor(0.1823, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAACqCAYAAACTZZUqAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAUGUlEQVR4nO3deXhU5b0H8O97zmyZJBMmCVmQHbKZAJYtBAGhVGv1aS+tilyXClZxQa1oaXtv1fap3t5bqVwvQgVr1dal2iKKFYq24lKWSBBIMCBJWBLCkoSELDPJbOec+0dq6DQJ2WbyTsL38zz8MWfOeec35OSbd97zvmeEYRggIqL+p8gugIjoYsUAJiKShAFMRCQJA5iISBIGMBGRJAxgIiJJTD3Z2SKshg3R4aqFLnIeuOEzvKK/X5fndc/pQ6Lhjz3/WPEBZrcO4fHBCGjyCotAFzqvexTANkQjV8wPTVVE/+JT4wMpr8vzuufKfjYDR25c1/ZYM3Sc1JqxoXEyNlZehpToRiii8zUGBaWjccm7Jjj+eghaY2N/lCzNhc7rHgUwEREAqJ7gDp0qFIw0xeCh+KN4KP5o1w2MBRqubMET1TPx7tszMebZUmg1NWGqNnJxDJiIekTNzsDPv/N6n9uJU6KwMmUfiu56BvobFoipOSGobmBhABNRtwmTCWWPWrEo9lzI2jQLFVszN+OmV7bi3OI8CNPF88GcAUxE3dZww1Rsm/nrsLT9XcdZbPj5SpT9z1QosbFdHzAIMICJqFvU5CRc/eNPMNwUE7bXGGmKQdGi1Tj3RjLUS9ND17AQUJ1OmFKSoSYnRUwvOzKqGOTUjPE4evNQRJ8EHOUBAEDTcBOaRv3j+awmtFTbkbmiGLrbLbFSok4oKkp+OBabEv8CQA3rS9kVC/Iv24CVfxyHLQ/Pg+X9zwDDAISAkTcRfoelW+1441TUZQt4R/iQPrIKV6V8jkzraXgMM56rnIPSglFIKDIQn18FrexYWN9TZxjA/SCQEI3Nt63ESFMU/EbrHEmzUGEW50/kas2Nhe8+COuWAlllEnVKjXNg/uzCoHM23FbEH8FX1x3CvY99H0Ne3gUlOwPLf/8aZtm610lRhYBVmDt4xosFGVuADMBr+PGXZidWvHUr0p46Aq2qOrRvogscgugHSsEh3Fu2CGahwq5YYFcs7U7kJDUa/gdqoURzQQBFHu3cOZxYPALT990AzdD77XWzzEBLUuuUt/J/i8f8KG/b71BX/zoK33NaM0r8bpT43XDpHliFGQuiXTh48xrkvl+J2jvy4P/aFOizvwI1OQnq0KFQbLawvT/RkxuyO0S8wQnrvVPx05n4fOkaqKLzv3ku3YOZqx5C6qqd/VhZ5PjU+ACNRl2/r4Tjed19amICDv8kDXuuXwWnag/7662tH4HN87KgVVXDlJqChhft+GDCG530bFsD9q8tqdhYMwW7S8egLd78CoYUmmGt1xGIEqidrCFvUileHv1B0O+k1/DDb2ho0gMo8CZBh4I/116G0oahaGixwVvohNAAxzEDMad8UHw6zCUnYTQ0Qvd4OqzpQuc1A7ifmC4ZhrR3qvF06p6g7ZUBF1JVO1ShwG9oyNm+BKP/vRjQL77lnAzggUGYLahaOhXPPvwMZtjCOyRxTmvGNT96CI7X8gEAqtOJwz/NQOH1TyNGsaEy4MJbTdlYf3gWAp87kJIfQHThSWjVZyFUBUryULRkJKNqqgX2mWdx//htuCa6HIlq3z5peg0/PEYAXkPHTk8yNtdNwu7TI+Hb74TjqAHH0RaYS09Br61Dvv89BnAkUCZlIbDKhS2Zb8MsVBzxu7DkgYdQM8mEu27cgtUffR2Zj5VCq62TXaoUDOCBxXf1NFhWnMZbGRthV7p3Yaw3flmbhm135gH5RQAAxWZDxfLJUH1ASn4zTAfLoTc1QXE64c8cjprLotCQHcA3phRhgfMz5NoaEadEha2+f+U1/GjQffh7Syp+vvYWlD/9OAM4UqgJ8Ti2LBNTrj4IqxLAmUXxCJSfgGnMKOinznT6MeZiwAAeeFSHA8fvz8Gvb1+HuVHhGxve3GzDI6tuR2JxS9B2T7wFZ/IUpE46gztG/R1XR5cjQYnqcKivWnNji3sMnimdi8aDCXBcYMV0c4qAL60FSQmNuPaSYoyx1mB2VDnMAFK7OQ3Pb2jIe+w+lD3/BAM40girFUII6B4PtHmToT5SDXWR96JcD/8lBvDAZcycBPF4bVh7w826D14jELTNLBTEKO0vknkNPyoDXvzZlYNXj01H885EpOR7YT1Q0foJs7tDfIoKxWaF4oiFnpIALcqM2gl2+GMEXJd5YLP7cEPaPtgVH74e8zkSVT+S1SiYhYoinwc/+tZi7Cpc2+l5zWlokhheL77802c5WImygnEYH/hCak1EvSV2FkL9tgNT738wbL1hu2KBHe3D/cuw3dQ0Ea8em4rG4gTEFwPxRfUQx04i3nUE8XoJAKDHV1Z0DXpzM/TmZuBMFQSAxF3Bu+y2xwFC4OORt0C3WXBuggO+WAFPAjC6bP8Fm2cPmCIGe8CDg5g2ASXLLPjTFc9iijX0vWGv4cffWmLxTMV8HNk9MihsNZc74i5gX+i8Zg+YiELKKDiAtCUC/znteyhdZsaf5qzrcxBXBFz4ff1U/DZ/NpL+bkLiJ5XAydMYGzgJAOi/mcmhxQAmotAzDGD3AaQVCPxk6vd63SOuDLgw56MHMO43Bkz7y5De1LpSNNDFcQMFA5iIwscwgnrEFSuA+7I/woyoIxhl8sPZyYwFzdDx37WXYssv5iJ9wx4YgcCA7eVeCAOYiMLvHz3iUTdZ8K5tNDaPyEPAaUfNJDtcowxY04K/lqi5MgZZT51CbHk+un+VauBhABNRvzH8Phh+H3CwCQJA0g4gqZN9B8sww4XwZjxERJIwgImIJGEAExFJwgAmIpKEAUxEJAkDmIhIEgYwEZEkDGAiIkkYwEREkjCAiYgkYQATEUnCACYikoQBTEQkCQOYiEgSBjARkSQMYCIiSRjARESSDKoAVh0O1NydB3VInOxSiIi6NGgCWHU48MWa8fjwkVWouCsbamICvNdOA2ZMBBRVdnlERO0Mju+EU1SUPJqNQ/NXwyqisP6uNdh+SwaWOTfjREDHgpcfxriVxdAaG7tui4ionwyKHnDN0unYduNKWIUZAHC5TcGPEkoRo9iQZbGj6PbVqLgnR3KVRETBBnwAq9kZeHj5HzHSFNPpPlZhRtTssxyKIKKIMqADWImNReV/Kbg5trZtm2bomPLZQiypmB20r6vFChh6f5dIRNSpARvAis2Gw8+ko2Da74O2zy/+DpKX1GL7x8FDDp7aKMAw+rNEIqILGrAB7J2Tg/z5q9vGfQHgmN8F5VeJ0M7WQh/maduuGToSCjj8QESRZcDOgrDtPYbL//ADBBL8iIrz4KUpL+KV2nmwbj8I/9zJWJ33Wtu+b7uHIHnbKQQk1ktE9K8GbABrZ2sx9oe7Wh8IgUdm3IHpz+5FyfocPJm7Adfaz/eAf7B9IdKPfyapUiKijg3YAA5iGBC7CvHajpk4+u31QU+96XIg82kXdI7/ElGEGbBjwB1xFirQ/mmmQ4PegsfX3AK96AuJVRERdWxQBXB0tYYANABAtebGlNeXI2U9hx6IKDINjiGIf4jdfwZ3VszHvjPDEfdKLMa/sxeG3ye7LCKiDg2qAA4cr0DNPBuG+Q4DugaO+hJRJBtUAQwAusfT9U5ERBFgUI0BExENJAxgIiJJGMBERJIwgImIJGEAExFJwgAmIpKEAUxEJAkDmIhIEgYwEZEkDGAiIkkYwEREkjCAiYgkYQATEUnCACYikoQBTEQkCQOYiEgSBjARkSQMYCIiSRjARESSMICJiCRhABMRScIAJiKShAFMRCQJA5iISBIGMBGRJAxgIiJJGMBERJIwgImIJGEAExFJwgAmIpKEAUxEJAkDmIhIEgYwEZEkDGAiIkkYwIOAMJlkl0BEvcAAHkDUrDRocycHb3M4UPL8JCgTMyVVRUS9xQAeIFSnE/41Hth+dhrCam3dKARO3JWDoq+txeGHouUWSEQ9xs+uA4AwmVDySAYOZa6FS/di2ov3Imq/He4cD/485ynEKFG46bLd2OtwQmtslF0uEXUTAzjCCZMJFf8xHTsXroRZRMOp2lE29yVg7pd7RAEAHkjIx6IZ34f5/T2SKiWinuIQRIRzf3MK3r/zSSSpFx5iSFKjUbnEDyhqP1VGRH3FAI5gwmyBek8VhptiurX/W3nroM+cEOaqiChUGMARTFw6DqvTX+/2/tmWKJTfp0OYLWGsiohChQEcwSqucSK7h2G68/JncfzRKTBdMgyqwxGmyogoFBjAEUqx23HFd/ZCFT37ESWq0di15Cnc/uF2lC/LCVN1RBQKDOAIJaxWzIgt69WxTtWO62IaYc2rDXFVRBRKDOAIZfh8ONA8otfHa4aO+rruXbwjIjkYwBFCmC3wXzUVp34wE2pCPHS3Gxs/zu11e7+uH4OsR6tCWCERhRoDOAIIqxWHn5uAl55/GnuW/x9qr80AAIx904NDvuYetaUZOjRDx3s1lyJw8nQ4yiWiEGEARwDF4cD/znoDI00xsAozqvM0AIBacAg3Fy3pdjt+Q0Pa2/dgVtENWDn6TXi/Mbnrg4hIGgZwBLLEewAAhtcLxzoHSvzubh23z6cjc00d/BuTkGWx49KfHYA6dGg4SyWiPmAAh4oQUCZmhuTevLdm7W6bw2vduhcLnl+Brc3WLo877k8EauogAq2Pf5X6CequGtfneogoPBjAIdK0MBe3/ek96Ll9n3t7c9we6OkjWx/oGkY8vhOrv/ktjNm0FA16S6fH1WvRgKZDGK2P7YoF6q3VvD8EUYRiAIeAmDYB1z/6Pn5zYjZMxcf63N4YcwxOXBm8ik07VIrM5UWYt3dxp8e9UpELrb4ezoMuVARcAIDnMl+Fkcf7QxBFIgZwH4mpOZjz293QIGC9W4VW39DzRgwdjZotaNOK2zbAfV0uFLu9bVhD93jg25nQaTN+XQEMA6rLC48hALTeH6JsKX/MRJGIv5l9oA6JA548h2RzA9677wpoZb3r/Wq1dXj5ZF7QtsWOamx8ehW+ssOFmA+HoOTZ6ah4bCZ+uPiPnbZzprzjcE4fUQUI0avaiCh8eEP2PmjJTcPxUoENyx1QC/f2viHDgF9rP06bpEbjF8lFQDKAblxLizna+uMUdQ0o8IxEurl1KXJJRQrSjJO9r4+IwoI94D6wfrAf6XfvgV54SHYpaNBbMHS/DwCgna3Fm1Wtc4C9hh8pW80ySyOiTjCA+8AIBADDCElbdVuH4R23vdfHn9U0WOo8bXXtKx2FioALWX+7C86Pj4ekRiIKLQZwhEhdtRM/Wb8YmqH36vg3GqZAKak4v8EArvjbg0hbUojA6TMhqpKIQokBHEGS9nnhMrzttr/alIAxm5Yia8etcOmeDo99p3JC0DciJ+4wI3N1M6BrYauXiPqGF+EiXLGvBS/cswDp23ZDiY7G0ve/gdfGfNjlcfEv7kLv+tJE1F/YA+4GdfyY1ilnYXY2x4oYEbzkeEnxd2H6aD8AQHe78fnGLPgN9mqJBgMGcBdMKck4tCIRwmbreuc+EGYLmnOb230FUVOzLWgYYfhLX+DK4uvaHX/r6E9humRYWGskotBiAHdBO1uLrBWHETgTvpubKzYbjj86BR/OWtPuuScmbYKYev7+ElptHez3m/BcQ3DYLo07jpL7R4WtRiIKPQZwF4xAIOjiViiZUlOgpo1FzS1fwae3r8JwU/uvELouphGzXtgDJSezbZt2uAxrn1sQdEHOLFTkzjkEJcw9dSIKHQawJMJswal1Q3D3lq144scvIE6JarfPOa0Zxb4WTIyqQGBIcLAOe64Qd5Rf0/b4l7VpOP3IOOiejmdJEFHk4SwISUT2ePxu0guYaOm4x7q2fgT+8Ng1cBSdhfD5oZQXBj2vu93YWzEeGANUBlx496dfhX3bp+0bUtTW75irb4Dh94XjrRBRL7EHLEn19DhkmTteIvzMuVHYdMdXEb3hU2glRxA4XtFuxZ0wmTAmqfVeD5/7EuAo6PheD403TsPiHbtR8eOpoX0DRNRnDGBJzG6j3XQyl+5B+se3YcvNl0PsLOzkyFZqagqWjdwGAMiz1cM1qeMZEGeu0DE36hTsZ0KzZJqIQocBLEnC9pPY7T0//ODSPZi04UGMW3IY+v6D7fZXh8TBtXBG220lDZ8PO1zpAACbMKFxdMejSSP+Alz15AokvlgQhndBRH3BMWBZvD54DDOA1qXH1x2+Hun/WdTpRTRjeCpOX2EgbYMCGBq0qmocWDQeY5flIvqEiuG/O9DhyreoTbsRBYD9X6LIwwCWxJcxDDmWWgAx8Bp+nHt5BJzNlZ3urxcfRvr3VRj/tChDO1yGtAfKWp8Pd8FEFHIcgpBBCJTdZGqb97vPqyBxRxcLPQyj9faXRDRoMIAlUCZm4pUr17c9Xlp0C7Qj5RIrIiIZGMD9TJhM+OJBOy63nf+vN3Y4edtIoosQA7ifiew0bJq3NmibN56XyIguRgzgfladO6TdAozoS88BSvsv5SSiwY0B3M/q8nwwi+CwvSf9E6gJ8ZIqIiJZGMD9SJgtmJ1Z2m77XHspMNQpoSIikokB3I+ExQxVGPhexSzkrL4XaR8tRonfjWRVgXvsENnlEVE/40KMfqS73ahakgbU1OGSszsBRcXihQ8j9s5KRJfWgfMgiC4uDOB+ph36pyEIXUPs6/kQb1mhedt/GzIRDW4cgogABsOX6KLEACYikoQBTEQkCQOYiEgSBjARkSQMYCIiSRjARESSMICJiCRhABMRScIAJiKShAFMRCQJA5iISBIGMBGRJAxgIiJJGMBERJIIw+j+N/IKIWoAlIevHLrIjTIMY2h/vyjPawqzTs/rHgUwERGFDocgiIgkYQATEUnCACYikoQBTEQkCQOYiEgSBjARkSQMYCIiSRjARESSMICJiCT5fxejaXkd7JI4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.09722124312709017 0.11162609606981277 tensor(0.5604, device='cuda:0')\n",
      "Train loss 0.09614833444356918 tensor(0.3560, device='cuda:0')\n",
      "Train loss 0.13000299036502838 tensor(0.3232, device='cuda:0')\n",
      "Train loss 0.11697295308113098 tensor(0.3074, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.09505571415875017 0.09666976891458035 tensor(0.5754, device='cuda:0')\n",
      "Train loss 0.0984770879149437 tensor(0.4248, device='cuda:0')\n",
      "Train loss 0.1014159545302391 tensor(0.2035, device='cuda:0')\n",
      "Train loss 0.09222950041294098 tensor(0.2901, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.09529306394297903 0.10012664645910263 tensor(0.5242, device='cuda:0')\n",
      "Train loss 0.0758306086063385 tensor(0.3033, device='cuda:0')\n",
      "Train loss 0.10180742293596268 tensor(0.2311, device='cuda:0')\n",
      "Train loss 0.105476014316082 tensor(0.4187, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.09471622018552409 0.09301770105957985 tensor(0.5586, device='cuda:0')\n",
      "Train loss 0.0916454866528511 tensor(0.5221, device='cuda:0')\n",
      "Train loss 0.0738874077796936 tensor(0.3662, device='cuda:0')\n",
      "Train loss 0.09788130223751068 tensor(0.0944, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.09112617482499379 0.09966196492314339 tensor(0.0320, device='cuda:0')\n",
      "Train loss 0.14456979930400848 tensor(0.0660, device='cuda:0')\n",
      "Train loss 0.08259031921625137 tensor(0.5334, device='cuda:0')\n",
      "Train loss 0.062286797910928726 tensor(0.4574, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08848454494301866 0.0886331107467413 tensor(0.4512, device='cuda:0')\n",
      "Train loss 0.08427437394857407 tensor(0.3111, device='cuda:0')\n",
      "Train loss 0.10093532502651215 tensor(0.2639, device='cuda:0')\n",
      "Train loss 0.058783695101737976 tensor(0.4328, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08838543023278074 0.08967716619372368 tensor(0.5457, device='cuda:0')\n",
      "Train loss 0.05386008694767952 tensor(0.3682, device='cuda:0')\n",
      "Train loss 0.09500911831855774 tensor(0.3661, device='cuda:0')\n",
      "Train loss 0.10065897554159164 tensor(0.3782, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08524817137456522 0.11954830959439278 tensor(0.1517, device='cuda:0')\n",
      "Train loss 0.06745241582393646 tensor(0.5682, device='cuda:0')\n",
      "Train loss 0.06520715355873108 tensor(0.4329, device='cuda:0')\n",
      "Train loss 0.1127961128950119 tensor(0.2339, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08638220035084863 0.09217312186956406 tensor(0.1692, device='cuda:0')\n",
      "Train loss 0.11669273674488068 tensor(0.3418, device='cuda:0')\n",
      "Train loss 0.09112635999917984 tensor(0.3273, device='cuda:0')\n",
      "Train loss 0.06789560616016388 tensor(0.4241, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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aSL/U4y0GsI9oVitiFgUj3lgCZ6/OAIDQldsxYVvt1cKg+FxIiv/6XbNvjYQS0/Bk8jPab4JjcIqfKqLWSD2Ujfw/dMXX1ijMn7Mc2pUDoR487NYV0c9kxg1/+Q5Kb3HzA6+oTEbk7mJ0630CiiQj/prcVnGfgwHsQ8r6XXjz6VtR3M9Se2WpqQj6PhyrrWbs/qSP/yafkRWEDyxGTY+6qxTTGc+TMdEQityrG75KJpI27caiWZNg1YOQtmgvlO5dPLoi5rQ7gqNPmxr91uVLEVlVWG0NBQC8lT0SWfdF46ueqwAAM5PXwpDQ8m/GMYB9SdcR/vFPCDvuhPR5GOR+PRH3bgaWXD0Oca9t9lsZktGA4XE5sMbWDZ5PXlNT73hlU1pZm1+tgxoX9NU2LJ7+G1SrRuTMD4VssaDrn2vcuiI2pi9D3iODm60GyWCART5nkqCte7Hw0buwrlpG6bZYvHfLG677HKOCi1GW3vLHBTOAm0FIRi4ycxIgn6mAZrXCefQ4oPt30pJgxYGSXnXBaswvRZHq+TTTwLg8v3aNUOtlWLsDebe0h63KhLx34qBZTFjySl1XRJRiwfIHF8M+/sKrLntDbheFy0Ky3baFbMnBijNDEJqno4ex2rU9Qg7GiauapQyfYgA3A2fBSaRO3QFnXr6Q91cS4jAhIsNtmy25HRIMnl0g6RE5kCMj/FQZtXbO3DykPvgz9E1RuO3DtSjvBtx24Leu/cPMCjo/dRBKB9/PE6yeLsSGip6wd7LVbYwIRdfgQsRsK8OykkFu7YcOPNTiV+xgADcXP1/xur11cBDilCq3E7Um2oiIepaeGRKcDSks1J/lUSun22xIWLAFi965GRsmvYTZXb5FpVb3tOfypPXIfLZTs43F7dKxyNVtZk+KQgdjGeTSSnyR38etXYhy6avY+AsDOABJZ8qwrSYZt/Xb6RpmFrn1BD6t5OoF5COaisTXdmLE2lm4OrgCobLZtUuRZGy7dhFOT22e/uBggwOQaqPLUGqDAg0nfpWID3u/59Yuu6I9dK1lz1fMAA5AanEJNpanYGTYAcghtU8KOY8ex9MfTPJou8maAr28wt8lUgDQamrQa9Yh/CrTc0rWaCUEz89eDn14f5+/7+8Tv4PSNRkAIB0+jsyaBHzx2IsIkoB5pwa42h07EAdoF7/isz8xgAOQ7rDj6z190N9UBHtKgmt75GHNY86Kvx24HOoZTpVJl0YtL0fQDCOeLerpsW+cxYGOr2RDiYnxzZtpOiqcZowKtqL0stqn4fTqapyoiQQAPH9qLMaF100sbyxr+fHW8iukSxL/XwNMkoRjE8yu/rKaKPfhZmVaNcJXhgntr6bWT806gu/mXYlVVZ73EpYnrUfmfN/0B+sOOza/MwiqrqNgpAZIEiSDAcGKHYmGUPwu5geMDa694nXoKtrvbfnnNQM4QIV/ugtXbnoIX05agNzHh6Nm4lBc88BmKFLdn3zMrimIXNW0Ne2IGhL09TY889LdHmPNFUnGtvGv+qw/OP7jfZhdMBIrrnsdzqsGoeCBQfhj7A+Ylns5btj8kKtdjrMGIfktYxrYhjCAA5Rus6H73BL8o3QIds9YjJVvvoIXOmS49s87NQAd5v2yHhiRD0Qv34qrPpkDm+6+RuLZ/mAM835CKrW0DBkLB6CDYscVr/yEhbOWYkHhSORPjoejpPYpvNNqFW5cPgfypr2NHE08BnAAcx7LxTfPj0SZVoNoJcS1PctRhZ+eHAp1f5bA6ijgaCpSnt2HtHUPeNxrGGdxQPtrCZT27bx+m/AV23Hlt4/iyei9GBus4vPv0qEbDZg/9t9w6Cqu+GA2kudvbfE34AAGcMCLWr0fi8+4z1R1w9bpCP56p6CKKJCp5eXo8Vgh7s8d5bHvq56rkPV4qtcPR+hOJ3oursARZ+2Tb5pJR/6zEm4JLULfjfeg+4v7/TfvipcYwAFOLS/H+zuGu37OclSh4xvGVnOCUuvjzM3Did939rgpZ5QUrLttAUp/4/2jylKNAw69Nr7uHbsO6we/jQE/TUbXB/OglpZ5fXx/YQC3Bfa6P/MNW6fD8CNvvFEz27oXix6ZhM+rLG6bEw2hmPGnFZAH9PbZWz0RfQDfV8eh0xP2Vrf6OAO4DfmpRkXiqwqvfskvglZvw9MvTvEYGTE5vAjOhRU+6Q8Gaoec/WX5XVAzD/nkeP7EAA50koTwuAqouoYpHz8M+ccM0RVRG9L+7a24dslcjyXtfdUfDACPnRyCpPcOe30cERjAAU5p3w4PpW7AXrsD3f5xRnQ51NZoKhJf2YGh3890G57my/7gL9akQz112uvjiMAADnTtInGl5TDeOD0Gek6u6GqoDdJtNvSceRhp66e5DU9LNIRi5pP/hpLW46KPWZXaHokGwKrZEbtda/wFLRQDOMA54sMRIavY8N9+fOiChFHLy9FjXhEeyB3ptv3OsGIUPCdBCQ+/qOMVpxkQIQdjq82MiB0FvizVrxjAAa482QybDnT6iuFLYjlz81AwuQP+XJjmtn3j4PeRPTvtopbGqu5bOwb4tfyxUPNO+LROf2IABzhrvISFp6+GktH67hBT4FGzjmD94yOw2lo3f7BFNmHl5JdhvalpS9tLQUG4vlftY8b7/te9VY/qYQAHOGvfany9sy+7H6jFCFq9Dc89fg9yHHXD09JMwbjuL+ug9Epp9PVKx3jcEbUFOY5KdFrdus9rBnAAk4wmjE45hNiNLXtdLGp7Qldsw/VvznUbI/x49EEUPK802h9c2TsWvUx2PHdyfKv/ZscADmCSyYitBcmIXpPdeGMif9JUdHxxC8Z8PAcOvW7SnI2D30f2//VpsD/47A247ze2/m92DOAAJsXHwrkrEs6Tp0SXQuRJU9H9+f3otX6qK4QtsgkrpyyE9cYL9wfX9Ku9AWeobvpNu5aKARzAtGP56Lxwt+gyiC5ILS1D6szjmJQ93rUtzRSM655aB0PnZI/2UlAQJvbcC4euIrx1PvzmhgEcwCRzELSqqsYbEgmkFp+B9f5IPJyf7to2r30mDs2Pgmw2u7WVkxJwR9QWOHQVISdb7+iHsxjAAUoyGHDi/r4XNbaSSBT14GFkzuvjGp6mSDK2XPEmcmcNcmtX1TMGvUx2FGl2mErtIkr1KQZwoFIUWONb/qKERGcZvt+BFx+djDVWIwAgSrFgyYNLYB9fN1/E2Rtw++3tYcw5KapUn2EAByilYzz0xGrRZRBdFPMXWzHn9Wko+GV42kgzMOi5na7+4LM34IrVUOhq650D4iwGcIDSg4ww7bdwyXlqdeJe24Kxy+aiUqtd1fjFuO04ND8KSlQUbuhZe1P5oxPpUIuKRJbpEwzgQFVwGp3/2fq/olEbpKno9MpuDNgwHQ5ddfUHH57bE+XOYBx3VqLwvOWOWis+IhWg1NIyoBWtjUV0Lq2qCqkzctDjtWl4fthKABEYd/VOHJ7eHdOMMxBTVAE1AL7dMYCJqEVSS8uQOvVnvBvxy004XYdecgDQVLT8BeebhgFMRC2W7rBDLSoWXUazYR8wEZEgDGAiIkEYwEREgjCAiYgEYQATEQnCACYiEoQBTEQkCAOYiEgQSb+Ix/kkSSoEcKz5yqE2rpOu6zH+flOe19TMLnheX1QAExGR77ALgohIEAYwEZEgDGAiIkEYwEREgjCAiYgEYQATEQnCACYiEoQBTEQkCAOYiEiQ/wen26XPwlfv5AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08614565750084273 0.07960407063364983 tensor(0.3932, device='cuda:0')\n",
      "Train loss 0.11458872258663177 tensor(0.2206, device='cuda:0')\n",
      "Train loss 0.09819052368402481 tensor(0.2671, device='cuda:0')\n",
      "Train loss 0.10758538544178009 tensor(0.3580, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08401751109376186 0.0945617500692606 tensor(0.5363, device='cuda:0')\n",
      "Train loss 0.060280609875917435 tensor(0.6078, device='cuda:0')\n",
      "Train loss 0.08350645750761032 tensor(0.4548, device='cuda:0')\n",
      "Train loss 0.08827788382768631 tensor(0.3330, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08109589475320607 0.0875050313770771 tensor(0.2500, device='cuda:0')\n",
      "Train loss 0.07480354607105255 tensor(0.3913, device='cuda:0')\n",
      "Train loss 0.06458176672458649 tensor(0.4120, device='cuda:0')\n",
      "Train loss 0.06398320198059082 tensor(0.4853, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08619790424297495 0.10502091981470585 tensor(0.6174, device='cuda:0')\n",
      "Train loss 0.08456467092037201 tensor(0.3658, device='cuda:0')\n",
      "Train loss 0.09623844921588898 tensor(0.4038, device='cuda:0')\n",
      "Train loss 0.09878496080636978 tensor(0.2483, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08124059765804105 0.08865299355238676 tensor(0.1834, device='cuda:0')\n",
      "Train loss 0.0687127634882927 tensor(0.3504, device='cuda:0')\n",
      "Train loss 0.09665518999099731 tensor(0.3968, device='cuda:0')\n",
      "Train loss 0.059536922723054886 tensor(0.5235, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.07903465883034032 0.08420984260737896 tensor(0.5701, device='cuda:0')\n",
      "Train loss 0.09351420402526855 tensor(0.3643, device='cuda:0')\n",
      "Train loss 0.07946021854877472 tensor(0.4472, device='cuda:0')\n",
      "Train loss 0.0851457491517067 tensor(0.3689, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08810798106033628 0.08431917615234852 tensor(0.5876, device='cuda:0')\n",
      "Train loss 0.05809325352311134 tensor(0.5196, device='cuda:0')\n",
      "Train loss 0.10046109557151794 tensor(0.3803, device='cuda:0')\n",
      "Train loss 0.10345388948917389 tensor(0.3004, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.07975599823928461 0.08128469809889793 tensor(0.3144, device='cuda:0')\n",
      "Train loss 0.10355087369680405 tensor(0.2770, device='cuda:0')\n",
      "Train loss 0.09754318743944168 tensor(0.3997, device='cuda:0')\n",
      "Train loss 0.06824920326471329 tensor(0.4885, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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sQBqciqNLOyIrbSUCJSOsmh2Dd92Owv+KgXrwcOsXS+SCrooVjpjQmp+1uFiYlfp7wOXOKgz55XacvLcD1Bz/Ph5IBL/dDc0eaoBkqBvApROHYNG8hRgQYEC5ZsO8ojRsWnYlYldls3dAuhBrMKO4fzDabwWkwakYuHQPHg0/Wqfdhgoznn/rEXRakgnVYqnnTtTS/DaAT/c1YEyfDOSaTDUr4ZSYGPSbkYVFhSOxZVsqYrdpaLdpP9qXbuN2eqQL2m8L3pw3nENe9zQsuHnlbydgXJRepeLOLx9Gylul6Ji9ze+PBRLJbwNYk4BbI3filW4TgJw8yCEhyH0yEWcWAZGfZCOxrHpzdgYv6YUcHIzkkdXDCD8PWQ15iFRrXwirZsfEg2NQ8VwnJG3ZCSdn8gjnt2PAgSXAFQE2nBneHkD1t8VJbx9D+KrtcJaViS2OyA3Hpw7Ayh4bAABGSakVvgWOcvT6+DHYxlVB/j6D0yh9hN/2gDvsKEX/D6Yj6dsCOABoVisc+XXHyYj0QB0xCIumvY0wOajOe/8si8CCeQ+j5/s/QeUUM5/itwGs/ZyNhJ8BbjlCeieHhiJ+/n78zlT7datmx/iccdBmhCMic7uY4qhRfjsEYejaBWUTh4sug8hjksmEmyL21HrNqtnR66upwPgKODP3CaqMmuK3AXz4vm4ouoKbTpP+aVVVyLJ0q/XajftuRfJjOVBLzguqiprDbwO4Mt6GhPWc+0j65ywrw/vZw2p+tmsqSjZ05pfJOuC3Adz7hZOQ0neLLoPIK0K3BdUcO7S1yojYTacEV0TN4bcB7Dh2nFNxqM1oV+CoCeA5uTdDzeN2qXrgtwFM1JacTFMQLAdU/7swnDua6QQDmEjvZAVxwy6e7G3OMjXSmHyJ384DJmorDLEdMKXbNwCqv4AzneHQml6wB0ykcxUDOuP3QWcAAFuqAhC9rVBwRdRcDGAiPZMVHLvLUbMEefJXD3LPah1hABPpmDa8D9Zf9Q4AIMdegaT3Kjm7R0cYwEQ6JRkMODRNQr+A6i/d7sh6AFLGr4KrIlcwgIl0qnzcYGy+ehGA6u0mw94KhWZ34Qx6Eo4BTKRDsskE86PH0MVgBgCMy5iMwG+5slNvGMBEOlQ2uj9W91wLANhSBXR4ycDerw4xgIl0RomOQvLsvYhWQqBqTtz/+RRou/aKLovcwAAm0pnjdyfj7a7fAQB+qDIg5Y1iznzQKQYwkY4o0VEYff+PCJSMAICnDkzgxjs6xgAm0pH8h5LxfPtdAKqXHds3xnDjHR3jXhBEOhJ61Ile66ahd78CnCwLRad/HeG5hjrGACbSkbDV6QhbDdhlBdEogoO9X11jABPpEYO3TeAYMBGRIAxgIiJBGMBERIIwgImIBGEAExEJwgAmIhKEAUxEJAgDmIhIEAYwEZEgDGAiIkEYwEREgjCAiYgEYQATEQnCACYiEoQBTEQkCAOYiEgQBjARkSAMYCIiQRjARESCMICJiARhABMRCcIAJiIShAFMRCQIA5iISBAGMBGRIAxgIiJBGMBERIIwgImIBGEAExEJwgAmIhKEAUxEJAgDmIhIEAYwEZEgDGAiIkEYwEREgkiapjW/sSQVA8hvuXLIz8VpmhbT2g/l55paWIOfa5cCmIiIvIdDEEREgjCAiYgEYQATEQnCACYiEoQBTEQkCAOYiEgQBjARkSAMYCIiQRjARESC/BvuM863xro8kwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.07809165083780521 0.09849587082862854 tensor(0.1446, device='cuda:0')\n",
      "Train loss 0.11631526798009872 tensor(0.2914, device='cuda:0')\n",
      "Train loss 0.09110597521066666 tensor(0.3927, device='cuda:0')\n",
      "Train loss 0.08990655839443207 tensor(0.4575, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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IAQYAQwgwABhCgAHAEAIMAIYQYAAwhAADgCEEGAAMIcAAYAgBBgBDCDAAGEKAAcAQAgwAhhBgADCEAAOAIQQYAAwhwABgCAEGAEMIMAAYQoABwBACDACGEGAAMIQAA4AhBBgADCHAAGCI5ThO63e2rK2SNrTdODjC9XIcp2u0fyjva7SxA76vIwowAODwYQkCAAwhwABgCAEGAEMIMAAYQoABwBACDACGEGAAMIQAA4AhBBgADPkXZGRW8bcbC6YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0813146166321708 0.08084872085601091 tensor(0.5227, device='cuda:0')\n",
      "Train loss 0.06334313750267029 tensor(0.5128, device='cuda:0')\n",
      "Train loss 0.08998695015907288 tensor(0.4814, device='cuda:0')\n",
      "Train loss 0.06161029636859894 tensor(0.4584, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0790335695009406 0.07958891056478024 tensor(0.3873, device='cuda:0')\n",
      "Train loss 0.11755342781543732 tensor(0.3849, device='cuda:0')\n",
      "Train loss 0.06589173525571823 tensor(0.6573, device='cuda:0')\n",
      "Train loss 0.08311935514211655 tensor(0.2816, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.07663912080773493 0.08307069540023804 tensor(0.2780, device='cuda:0')\n",
      "Train loss 0.060304995626211166 tensor(0.3941, device='cuda:0')\n",
      "Train loss 0.056863319128751755 tensor(0.6182, device='cuda:0')\n",
      "Train loss 0.0886233001947403 tensor(0.3202, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.07742225478698568 0.10550398752093315 tensor(0.1384, device='cuda:0')\n",
      "Train loss 0.05067387968301773 tensor(0.5600, device='cuda:0')\n",
      "Train loss 0.08530069142580032 tensor(0.5501, device='cuda:0')\n",
      "Train loss 0.07659511268138885 tensor(0.3416, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.07699353611323892 0.07694325689226389 tensor(0.4285, device='cuda:0')\n"
     ]
    }
   ],
   "source": [
    "for _  in range(25):\n",
    "    train_loss = train(train_loader, model, criterion, optimizer)\n",
    "    val_loss, val_iou = validate(val_loader, model, criterion)\n",
    "    \n",
    "    print(train_loss, val_loss, val_iou)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a81ac8f8-5329-4ba7-bd31-15deefcd2de1",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_dataset = XunFeiDataset(\n",
    "    test_jpg[:], [train_json[0]] * len(test_jpg),\n",
    "    A.Compose([\n",
    "    A.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))\n",
    "]))\n",
    "\n",
    "test_loader = torch.utils.data.DataLoader(\n",
    "    test_dataset, batch_size=5, shuffle=False, num_workers=1, pin_memory=False\n",
    ")\n",
    "\n",
    "model.eval()\n",
    "test_pred = []\n",
    "with torch.no_grad():\n",
    "    for i, (input, target) in enumerate(test_loader):\n",
    "        input = input.cuda()\n",
    "        target = target.cuda()\n",
    "\n",
    "        # compute output\n",
    "        output = model(input)\n",
    "        output = output.data.cpu().numpy()\n",
    "        \n",
    "        output = (output[:, 0, :, :] > 0).astype(int)\n",
    "        test_pred.append(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6e487617-7bb7-4b8c-af89-78e59ee8a1fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "!mkdir submit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3d689db6-a221-4261-b889-b89b7ebac733",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_pred = np.vstack(test_pred)\n",
    "import os\n",
    "for path, pred in zip(test_jpg, test_pred):\n",
    "    cv2.imwrite(\n",
    "        os.path.join('submit', os.path.basename(path).replace('.jpg', '.png')),\n",
    "        pred.astype(np.uint8)\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "26b6b665-62c6-44a2-a1e0-526f955a30d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  adding: submit/ (stored 0%)\n",
      "  adding: submit/shoot547_5.png (deflated 27%)\n",
      "  adding: submit/shoot364_5.png (deflated 27%)\n",
      "  adding: submit/shoot323_5.png (deflated 25%)\n",
      "  adding: submit/shoot600_5.png (deflated 41%)\n",
      "  adding: submit/shoot525_9.png (deflated 25%)\n",
      "  adding: submit/shoot457_5.png (deflated 48%)\n",
      "  adding: submit/shoot127_1.png (deflated 50%)\n",
      "  adding: submit/shoot433_6.png (deflated 37%)\n",
      "  adding: submit/shoot527_5.png (deflated 33%)\n",
      "  adding: submit/shoot500_6.png (deflated 36%)\n",
      "  adding: submit/shoot328_6.png (deflated 28%)\n",
      "  adding: submit/shoot23_1.png (deflated 19%)\n",
      "  adding: submit/shoot513_5.png (deflated 32%)\n",
      "  adding: submit/shoot570_3.png (deflated 47%)\n",
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      "  adding: submit/shoot466_5.png (deflated 52%)\n",
      "  adding: submit/shoot505_5.png (deflated 15%)\n",
      "  adding: submit/shoot433_9.png (deflated 39%)\n",
      "  adding: submit/shoot473_5.png (deflated 25%)\n",
      "  adding: submit/shoot216_2.png (deflated 52%)\n",
      "  adding: submit/shoot49_5.png (deflated 26%)\n",
      "  adding: submit/shoot517_8.png (deflated 28%)\n",
      "  adding: submit/shoot561_5.png (deflated 24%)\n",
      "  adding: submit/shoot83_4.png (deflated 51%)\n",
      "  adding: submit/shoot114_1.png (deflated 59%)\n",
      "  adding: submit/shoot567_6.png (deflated 26%)\n",
      "  adding: submit/shoot682_5.png (deflated 37%)\n",
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      "  adding: submit/shoot360_7.png (deflated 34%)\n",
      "  adding: submit/shoot603_8.png (deflated 15%)\n",
      "  adding: submit/shoot636_6.png (deflated 24%)\n",
      "  adding: submit/shoot568_5.png (deflated 36%)\n",
      "  adding: submit/shoot547_7.png (deflated 53%)\n",
      "  adding: submit/shoot452_6.png (deflated 93%)\n",
      "  adding: submit/shoot594_9.png (deflated 36%)\n",
      "  adding: submit/shoot66_6.png (deflated 28%)\n",
      "  adding: submit/shoot47_8.png (deflated 38%)\n",
      "  adding: submit/shoot333_5.png (deflated 31%)\n",
      "  adding: submit/shoot160_2.png (deflated 84%)\n",
      "  adding: submit/shoot334_5.png (deflated 35%)\n",
      "  adding: submit/shoot455_1.png (deflated 32%)\n",
      "  adding: submit/shoot557_9.png (deflated 15%)\n",
      "  adding: submit/shoot594_6.png (deflated 38%)\n",
      "  adding: submit/shoot513_6.png (deflated 35%)\n",
      "  adding: submit/shoot599_8.png (deflated 33%)\n",
      "  adding: submit/shoot268_5.png (deflated 49%)\n",
      "  adding: submit/shoot254_5.png (deflated 45%)\n",
      "  adding: submit/shoot592_6.png (deflated 28%)\n",
      "  adding: submit/shoot595_5.png (deflated 29%)\n",
      "  adding: submit/shoot197_2.png (deflated 32%)\n",
      "  adding: submit/shoot545_9.png (deflated 26%)\n",
      "  adding: submit/shoot14_8.png (deflated 39%)\n",
      "  adding: submit/shoot545_5.png (deflated 28%)\n",
      "  adding: submit/shoot628_8.png (deflated 58%)\n",
      "  adding: submit/shoot611_5.png (deflated 28%)\n",
      "  adding: submit/shoot605_4.png (deflated 38%)\n",
      "  adding: submit/shoot23_8.png (deflated 39%)\n",
      "  adding: submit/shoot509_7.png (deflated 41%)\n",
      "  adding: submit/shoot597_5.png (deflated 41%)\n",
      "  adding: submit/shoot461_5.png (deflated 30%)\n",
      "  adding: submit/shoot582_8.png (deflated 41%)\n",
      "  adding: submit/shoot569_5.png (deflated 31%)\n",
      "  adding: submit/shoot538_5.png (deflated 34%)\n",
      "  adding: submit/shoot90_2.png (deflated 55%)\n",
      "  adding: submit/shoot465_9.png (deflated 60%)\n",
      "  adding: submit/shoot475_5.png (deflated 49%)\n",
      "  adding: submit/shoot443_5.png (deflated 24%)\n",
      "  adding: submit/shoot286_8.png (deflated 41%)\n",
      "  adding: submit/shoot81_5.png (deflated 16%)\n",
      "  adding: submit/shoot481_7.png (deflated 73%)\n",
      "  adding: submit/shoot575_5.png (deflated 28%)\n"
     ]
    }
   ],
   "source": [
    "!\\rm submit.zip\n",
    "!zip -r submit.zip submit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "565bc7c4-9994-40fe-bb7f-f7bb91ef7226",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3.10"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.10"
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 },
 "nbformat": 4,
 "nbformat_minor": 5
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